Publications

 

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International journal papers

International conferences

Talks

National journal papers

National conferences

Editor

International journal papers

  • P. Peseux, M. Berar, T. Paquet and V. Nicollet, « Selective Path Automatic Differentiation: beyond uniform distribution on backpropagation dropout, » in IEEE Access, vol. 11, pp. 136552-136564, http://doi.org/10.1109/ACCESS.2023.3338367.
  • D. Coquenet, C. Chatelain and T. Paquet, « DAN: A Segmentation-Free Document Attention Network for Handwritten Document Recognition, » in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 7, pp. 8227-8243, 1 July 2023,  http://doi.org/10.1109/TPAMI.2023.3235826 pre-print, https://arxiv.org/abs/2203.12273
  • Mélodie Boillet, Christopher Kermorvant, Thierry Paquet,
    Confidence Estimation for Object Detection in Document Images, Pattern Recognition Letters, Volume 166, Pages 31-37, 2023, https://doi.org/10.1016/j.patrec.2022.12.024, https://arxiv.org/abs/2208.13391
  • Denis Coquenet, Clément Chatelain, and Thierry Paquet, End-to-end Handwritten Paragraph Text Recognition Using a Vertical Attention Network, IEEE-PAMI , Vol.45 n° 1 , pp. 508-524, jan. 2023.  doi.org/10.1109/TPAMI.2022.3144899, pre-print  https://arxiv.org/abs/2012.03868
  • Mélodie Boilet, Christopher Kermorvant, Thierry Paquet,  Robust Text Line Detection in Historical Documents: Learning and Evaluation Methods, International Journal on Document Analysis and Recognition (IJDAR), Vol. 25, pp. 95–114 (2022).
  • Bruno Stuner, Clément Chatelain, Thierry Paquet,  Handwriting recognition using cohort of LSTM and lexicon verification with extremely large lexicon, Multimed Tools Appl 79, 34407–34427 (2020),  https://doi.org/10.1007/s11042-020-09198-6
  • Yann Soullard, Pierrick Tranouez, Clément Chatelain, Stéphane Nicolas, Thierry Paquet, Multi-scale Gated Fully Convolutional DenseNets for semantic labeling of historical newspaper image, Pattern Recognition Letters, Pages 435-441 Volume 131, March 2020.  https://doi.org/10.1016/j.patrec.2020.01.026
  • Wassim Swaileh, YannSoullard, Thierry Paquet, A unified multilingual handwriting recognition system using multigrams sub-lexical units, Pattern recognition Letters, Volume 121, pp. 68-76, 2019.
  • G. Renton, Y. Soullard, C. Chatelain, S. Adam, C. Kermorvant and T. Paquet, Fully Convolutional Network for Handwritten text line segmentation, IJDAR, Volume 21, Issue 3, pp. 177–186, September 2018.
  • S. Belgacem, C. Chatelain, T. Paquet, Gesture sequence recognition with one shot learned CRF/HMM hybrid model, Image and Vision Computing, n°61, pp. 12–21, 2017.
  • A. Bensefia, T. Paquet, Writer Verification Based on a Single Handwriting Word Samples, EURASIP Journal on Image and Video Processing, n° 34, 2016.
  • P. Barlas, D. Hebert, C. Chatelain, S. Adam, T. Paquet, Language identification in document images, Journal of Imaging Science and Technology, vol. 60, n° 1, pp. 010407-1,010407-16, 2016.
  • C. Chatelain , S. Thomas, Y. Kessentini , T. Paquet , L. Heutte, A Deep HMM model for multiple keywords spotting in handwritten documents, Pattern Analysis and Applications, vol. 18, n° 4, pp. 1003-1015, 2015Y.
  • Kessentini, T. Burger, T. Paquet, A Demspter-Shafer Theory based combination of Handwriting Recognition Systems with multiple rejection strategies, Pattern Recognition, Volume 48, Issue 2, February 2015, pp. 534–544, 2015.
  • Chatelain , S. Thomas, Y. Kessentini , T. Paquet , L. Heutte, A Deep HMM model for multiple keywords spotting in handwritten documents, accepted for publication in Pattern Analysis and Applications, 2014.
  • K. Ait Mohand, T. Paquet, N. Ragot, Combining structure and parameter adaptation of HMMs for printed text recognition, IEEE PAMI, Vol. 36 , n°9, pp. 1716 – 1732, 2014.
  • T. Paquet, L. Heutte, G. Koch, C. Chatelain, A Categorization System for Handwritten Documents, International Journal on Document Analysis and Recognition (IJDAR): Vol. 15, n°. 4, pp. 315-330, 2012.
  • C. Chatelain, S. Adam, Y. Lecourtier, L. Heutte, and T. Paquet, Non-cost-sensitive SVM training using Multiple Model Selection, Journal of Circuit, System and Computer, vol. 19, n° 1, pp. 231-242, 2010.
  • Y. Kessentini, T. Paquet, A. Benhamadou, Off-Line Handwritten Word Recognition Using Multi-Stream Hidden Markov Models, Pattern Recognition Letters, vol. 31 pp. 60–70, 2010.
  • C. Chatelain, S. Adam, Y. Lecourtier, L. Heutte, T. Paquet, A multi-model selection framework for unknown and/or evolutive misclassification cost problems, Pattern Recognition, Vol. 43, n° 3, pp. 815-823, March 2010.
  • S. Glénat; L. Heutte; T. Paquet; R. Guest; M. Fairhurst; T. Linnell, The development of a computer –assisted tool for the assessment of neuropsychological drawings tasks, International Journal of Information Technology & Decision Making (IJITDM) , Volume: 7, Issue: 4 Page 751 – 767, (December 2008)
  • M. Fairhurst, T Linnell, S. Glénat, R. guest, L. Heutte, T Paquet, Developping a generic approach to online automated analysis of writing and drawing tests in clinical patient profiling, Behavior research Method, Vol. 40, n° 1, pp. 290-303 , 2008.
  • U. Garain, S. K. Parui, T. Paquet, L. Heutte, Machine Dating of Manuscripts Written by an Individual, Journal of Electronic Imaging, SPIE, Vol. 17, n° 1, Jan-Mar, 2008.
  • A. Wiart, T. Paquet, L. Heutte, Detection and Recognition of Erasures in On-Line Captured Paper Forms, Pattern Recognition Letters, Vol. 28, pp. 1263-1270, 2007.
  • U. Garain, T. Paquet, L. Heutte, On Foreground-Background Separation in Low Quality Document Images, International Journal on Document Analysis and Recognition, Vol. 8, N° 1, pp. 47-63, April 2006.
  • W. Jaziri, T. Paquet, A Multi-Agent Model and Tabu Search Optimization to Manage Agricultural Territories, GeoInformatica Vol. 10, pp.337-357, 2006.
  • A. Benséfia, T. Paquet, L. Heutte, A Writer Identification and Verification System, Pattern Recognition Letters, vol. 26, no. 13, pp. 2080-2092, 2005.
  • G. Koch, L. Heutte, T. Paquet. Automatic extraction of numerical sequences in handwritten incoming mail documents, Pattern Recognition Letters, vol. 26, no. 8, pp. 1118-1127, 2005.
  • A. Benséfia, T. Paquet, L. Heutte, Handwritten Document Analysis for Automatic Writer Recognition, Electronic Letters on Computer Vision and Image Analysis, Vol. 5, n° 2, pp. 72-86, 2005.
  • A. Benséfia, T. Paquet, L. Heutte, Writer Identification and Verification : Two Complementary Approaches for the Quantitative Analysis of Handwritten Documents, Journal of Forensic Document Examination, vol. 16, pp. 57-76, 2004.
  • A. Nosary, L. Heutte, T. Paquet, Unsupervised writer adaptation applied to handwritten text recognition, Pattern Recognition, vol. 37, no. 2, pp. 385-388, 2004.
  • L. Heutte, A. Nosary, T. Paquet, A multiple agent architecture for handwritten text recognition, Pattern Recognition, vol. 37, no. 4, pp. 665-674, 2004.
  • L. Heutte, T.Paquet, J.V. Moreau, Y. Lecourtier, C. Olivier, A structural / Statistical Feature Based Vector for Handwritten Character Recognition, Pattern Recognition Letters, Vol. 19, pp. 629-641, 1998.
  • C. Olivier, T. Paquet, M. Avila, Y. Lecourtier, Optimal Order of Markov Models applied to Bank Cheks, International Journal of Pattern Recognition and Artificial Intelligence, vol. 11 No. 5, pp. 789-800, 1997.
  • T. Paquet et Y. Lecourtier, Recognition of Handwritten Sentences using a restricted Lexicon, Pattern Recognition, Vol. 26, No. 3, pp. 391-407, 1993.
  • T. Paquet et Y. Lecourtier, Automatic Reading of the Literal Amount of Bank Checks, Machine Vision and Applications, Vol. 6, pp. 151-162, 1993.

Book chapters

  • S. Belgacem, C. Chatelain and T. Paquet, A hybrid CRF/HMM for one-shot Gesture Learning, in Adaptive Biometric Systems: Recent Advances and Challenges, Editors- Ajita Rattani, Fabio Roli, Eric Granger, Spinger, 2015.
  • S. Nicolas, T. Paquet and L. Heutte, Document Image Analysis Using Markovian Models: Application to Historical Documents, pp. 1-33, in Advances in Digital Document Processing and Retrieval, Edited by B. B. Chaudhuri, S. K. Parui, World Scientific, January 2014, ISBN: 978-981-4368-70-4.
  • Y. Kessentini, T. Paquet and A. Ben Hamadou, Multi-Stream Markov Models for Arabic Handwriting Recognition, Guide to OCR for Arabic Scripts, Märgner, Volker; El Abed, Haikal (Eds.) 2012, Springer, ISBN 978-1-4471-4071-9
  • G. Lorette, T. Paquet, Reconnaissance de l’écriture manuscrite, Chapite 2, pp. 37-86, Traité IC2, Traitement Automatique de l’Ecrit, Hermes, 2006.
  • C. Olivier, T. Paquet, M. Avila, Y. Lecourtier, Optimal Order of Markov Models applied to Bank Cheks, in Automatic Bankcheck Processing, S. Impedovo, P. S. P. Wang, H. Bunke Editors, Series in Machine Perception, Artificial Intelligence, Vol. 28, p. 327-338, World Scientific,1997.

Editor

  • T. Paquet, A. Tabbone, actes du Colloque International Francophone sur l’Ecrit et le Document, Rouen, 2008.
  • J.M. Ogier, T. Paquet, actes du Colloque International Francophone sur l’Ecrit et le Document, La Rochelle, 2004.

National journal papers 

  • W. Swaileh, T. Paquet, Un modèle syllabique du Français et de l’Anglais pour la reconaissance de l’écriture, revue Document Numérique, 2016. DOI : 10.3166/DN.19.2-3.117-134
  • S. Thomas, C. Chatelain, T. Paquet, L. Heutte, Un modèle neuro markovien profond pour l’extraction de séquences dans des documents manuscrits, revue Document Numérique, Vol 16/2 – pp.49-68 2013.
  • Y. Kessentini, T. Paquet, A. Benhamadou, Reconnaissance de L’écriture Manuscrite Multi-Scripts par des Modèles de Markov Cachés Multi-Flux, Traitement du Signal, Vol. 26, n° 5, pp. 395-408, 2009.
  • S. Nicolas, J. Dardenne, T. Paquet, L. Heutte, Utilisation de modèles markoviens 2D pour la segmentation d’images de documents, Revue I3 Vol. 8 n° 2, 2009.
  • C. Chatelain, G. Koch, L. Heutte, T. Paquet, Une méthode dirigée par la syntaxe pour l’extraction de champs numériques dans les courriers entrant, Revue Traitement du Signal, Vol. 23, N° 2, 2006.
  • A. Benséfia, T. Paquet, L. Heutte, Documents Manuscrits et Recherche d’Information,  Revue Document Numérique, Vol. 7 n° 3-4, pp. 47-60, 2003.
  • A. Benséfia, T. Paquet, L. Heutte, Identification et Vérification Automatique du Scripteur pour l’Aide à l’Expertise de Documents Manuscrits, Traitement du Signal, Vol. 22, n° 3, 2005.

Invited talks

  • T. Paquet, Reconnaissance et compréhension de documents numérisés, DGFIP, Bercy, December 2022.
  • T. Paquet, S. Brée, Le projet POPP, séminaire DHAI, Paris ENS, Juin 2022.
  • T. Paquet, Document image Analysis, PRHLT, UPV Valencia (Spain), February 2022.
  • T. Paquet, Transcription and visualisation of large corpora of literary handwritten sources : The Bovary project, The Haye, Dutch National Archives, The Netherlands, March 2006.
  • T. Paquet, Processing of Archived Historical Handwritten Documents, International Workshop on Document Analysis, pp. 65-90 , 8-11 March 2005, Indian Statistical Institute of Calcutta.

International conferences

  • Antonio Ríos-Vila, Jorge Calvo-Zaragoza, Thierry Paquet, Sheet Music Transformer: End-To-End Optical Music Recognition Beyond Monophonic Transcription, https://arxiv.org/abs/2402.07596, 2024.
  • T. Constum, F. Bebin, P. Tranouez, T. Paquet, Pivan: A Web-platform for Document Annotation – Journal of the Archiving Conference, Vol. 20, n°1, pp. 53-56, Society for Imaging Science and Technology, http://doi:10.2352/issn.2168-3204.2023.20.1.10, 2023.
  • Denis Coquenet, Clément Chatelain, Thierry Paquet, Faster DAN: Multi-target Queries with Document Positional Encoding for End-to-end Handwritten Document Recognition, International Conference on Document Analysis and Recognition, Lecture Notes in Computer Science, vol 14190. Springer, Cham. https://doi.org/10.1007/978-3-031-41685-9_12, 2023.
  • T Constum, N. Kempf, T. Paquet, P. Tranouez, C. Chatelain, S. Brée, and F. Merveille, Recognition and information extraction in historical handwritten tables: toward understanding early 20th century Paris census, 15th IAPR workshop on Document Analysis Systems, pp. 143- 157, La Rochelle, 2022.
  • Coquenet, C. Chatelain and T. Paquet, SPAN: A Simple Predict & Align Network for Handwritten Paragraph Recognition, International Conference on Document Analysis and recognition (ICDAR), LNCS 12823, pp. 70–84, 2021.
  • D. Coquenet, C. Chatelain, T. Paquet, Recurrence-free  unconstrained handwritten text recognition using gated fully convolutional network, 2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR), pp.  19-24,  2020.
  • Wassim Swaileh, Thierry Paquet, Sébastien Adam, and Andres Rojas Camacho, A Named Entity Extraction System for Historical Financial Data, DAS 2020, LNCS 12116, pp. 324–340, 2020.
  • Yann Soullard, Wassim Swaileh, Pierrick Tranouez, Thierry Paquet, Clément Chatelain, Improving Text Recognition using Optical and Language Model Writer Adaptation, ICDAR, pp. 1175-1180, Sydney, 2019.
  • K Kettunen, T Ruokolainen, E Liukkonen, P Tranouez, D Antelme, T. Paquet, Detecting Articles in a Digitized Finnish Historical Newspaper Collection 1771-1929: Early Results Using the PIVAJ Software, DATech, 2019.
  • Wassim Swaileh, Thierry Paquet, Yann Soullard and Pierrick Tranouez, Handwriting Recognition with Multigrams , ICDAR, pp. 137-142, Kyoto, 2017.
  • Bruno Stuner, Clément Chatelain, Thierry Paquet, Self-Training of BLSTM with Lexicon Verification for Handwriting Recognition, ICDAR, pp. 633-638, Kyoto, 2017.
  • Bruno Stuner, Clément Chatelain, Thierry Paquet, Handwritten Word Recognition : A Lexicon Checking Strategy, ICFHR’2016, pp. 234-239, Shenzen.
  • Wassim Swaileh, Julien Lerouge and Thierry Paquet, A Unified French/English syllabic model for handwriting recognition, ICFHR’2016, pp. 536-541, Shenzen.
  • Bruno Stuner, Clément Chatelain, Thierry Paquet, Cascading BLSTM Networks For Handwritten Word Recognition, ICPR 2016, pp. 3416-3421, Cancun.
  • P. Tranouez, S. Nicolas, J. Lerouge, et T. Paquet. Pivaj : an article-centered platform for digitized newspapers. In The IS&T Archiving Conference (Archiving 2015), Los Angeles, CA, USA. May 19-22 2015.
  • Gautier Bideault, Luc Mioulet, Clément Chatelainy and Thierry Paquet, Benchmarking discriminative approaches for word spotting in handwritten documents, ICDAR 2015.
  • Yousri Kessentini, Thierry Paquet, Keyword spotting in handwritten documents based on a generic text line HMM and a SVM verification, ICDAR 2015.
  • Luc Mioulet, Utpal Garain, Clément Chatelain, Philippine Barlas and Thierry Paquet, Language Identification from Handwritten Documents, ICDAR 2015.
  • Utpal Garain, Luc Mioulet, B. B. Chaudhuri, Clément Chatelain, and Thierry Paquet, Unconstrained Bengali Handwriting Recognition with Recurrent Models, ICDAR 2015.
  • Ahmed Ben Salah, Jean philippe Moreux, Nicolas Ragot, Thierry Paquet, OCR performance prediction using cross-OCR alignment, ICDAR 2015.
  • G. Bideault, L. Mioulet, C. Chatelain, T. Paquet, A Hybrid BLSTM-HMM for spotting Regular Expressions, ICPRAM, 2015.
  • G. Bideault, L. Mioulet, C. Chatelain, T. Paquet, Spotting handwritten words and REGEX using a two stage BLSTM-HMM architecture, SPIE – Document Recognition and Retrieval, 2015.
  • Mioulet, L., Bideault G., Chatelain C., Paquet T., Brunessaux S., BLSTM-CTC Combination Strategies for Off-line Handwriting Recognition, ICPRAM, 2015.
  • Mioulet L., Bideault G., Chatelain C., Paquet T. and Brunessaux S., Combining features with a novel recurrent neural network architecture for off-line handwriting recognition, SPIE – Document Recognition and Retrieval, 2015.
  • Bideault, L. Mioulet C. Chatelain and T. Paquet, A hybrid CRF/HMM approach for handwriting recognition, in ICIAR, pp. 403-410, Portugal, 2014.
  • D. Hebert, P. Barlas, C. Chatelain, S. Adam, T. Paquet, Writing type and language identification in heterogeneous and complex documents, International Conference on Frontiers in Handwriting Recognition, pp. 411-416, 2014.
  • D. Hebert, T. Palfray, P. Tranouez, S. Nicolas and T. Paquet. Automatic Article Extraction in Old Newspapers Digitized Collections, Digital Access to Textual Cultural Heritage (DATECH), Madrid, May 2014.
  • D. Hebert, T. Palfray, S. Nicolas, P. Tranouez and T. Paquet. PIVAJ: displaying and augmenting digitized newspapers on the Web Experimental feedback from the « Journal de Rouen » Collection, Digital Access to Textual Cultural Heritage (DATECH), Madrid, May 2014.
  • P. Barlas, T. Kasar, S Adams, C Chatelain, T Paquet, A typed and handwritten text block segmentation system for heterogeneous and complex documents, DAS, pp. 46-50, Tours, 2014.
  • T.K. Bhowmik, T. Paquet, N. Ragot, OCR Performance Prediction using a Bag of Allographs and Support Vector Regression, DAS, Tours, 2014.
  • T Kasar, P Barlas, S Adams, C Chatelain, T Paquet, Learning to Detect Tables in Scanned Document Images using Line Information, ICDAR, Washington DC, 2013.
  • D. Hebert, T. Paquet, S. Nicolas, Discrete CRF as a combination operator for document images binarization, ICDAR, Washington DC, 2013.
  • Y. Kessentini, C. Chatelain, T. Paquet, Word spotting and regular expression detection on Handwriting documents, ICDAR, Washington DC, 2013.
  • A. Ben Salah, N. Ragot, T. Paquet, Adaptive Detection of Missed Text Areas in OCR Outputs: Application to the Automatic Assessment of OCR quality in Mass Digitization projects, SPIE – DRR, San Francisco, 2013
  • Selma Belgacem, Clément Chatelain, Achraf Ben-Hamadou, and Thierry Paquet, Hand Tracking Using Optical-Flow Embedded Particle Filter in Sign Language Scenes, ICCVG, Warsaw, 2012.
  • T. Palfray, D. Hébert, S. Nicolas, P. Tranouez, T. Paquet, Logical segmentation for article extraction in digitized old newspapers, DocEng 2012, Paris.
  • T. Palfray, S. Nicolas, T. Paquet, PlaIR: A System to Provide Full Access to Digitized Newspaper Archives, Archiving 2012, Copenhagen.
  • A. Ben Salah, G. Cron, T. Paquet, N. Ragot, Prediction of Selection Decision of Document Using Bibliographic Data at the National, Archiving 2012, Copenhagen.
  • Y. Kessentini, A. Guermazi, T. Paquet, An Optimized multi-stream decoding algorithm for handwritten word recognition, International Conference on Document Analysis and Recognition (ICDAR 2011), Beijing, China, September, 2011.
  • T. Burger, Y. Kessentini, T. Paquet, Dempster-Shafer theory based rejection strategy for handwritten word recognition, International Conference on Document Analysis and Recognition (ICDAR 2011), Beijing, China, September, 2011.
  • Hébert, D., Paquet, T., Nicolas, S., Continuous CRF with Multi-scale Quantization Feature Functions Application to Structure Extraction in Old Newspaper, International Conference on Document Analysis and Recognition (ICDAR’2011), Beijing, China, pp. 493-497, September 18-21, 2011.
  • Yousri Kessentini, Thomas Burger, Thierry Paquet, Dealing with precise and imprecise decisions with a Dempster-Shafer Theory based algorithm in the context of handwriting recognition, Int. Conf. on Frontiers in Handwriting Recognition, Calcutta, November 2010.
  • S. Thomas, L. Heutte, T. Paquet, C. Chatelain, Alpha-numerical sequences extraction in handwritten documents, Int. Conf. on Frontiers in Handwriting Recognition, Calcutta, November 2010.
  • Yousri Kessentini, Thomas Burger, Thierry Paquet, Evidential combination of multiple HMM classiers for multi-script handwriting recognition, IPMU (International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Dortmund, June 2010.
  • Kamel Ait Mohand, Thierry Paquet, Nicolas Ragot, Laurent Heutte, Structure Adaptation of HMM applied to OCR, ICPR (International Conference on Pattern Recognition), Istambul, August 2010.
  • S. Thomas, L. Heutte, T. Paquet, C. Chatelain, Information Extraction in unconstrained handwritten documents, ICPR (International Conference on Pattern Recognition), Istambul, August 2010.
  • K. Ait-Mohand, L. Heutte, T. Paquet, N. Ragot, Font adaptation of an HMM-based OCR system, 17th Document Recognition and Retrieval Conference (DRR 2010), part of the IS&T/SPIE International Symposium on Electronic Imaging, Vol. 7534, pp. 0J-1 0J-8, San Jose, January 2010.
  • U. Garain, T. Paquet, Writer Identification for Multi-Script Multi-Writer Manuscript, 14th International Conference of the International Graphonomics Society (IGS’2009), pp. 242-245, Dijon, September 2009.
  • U. Garain, T. Paquet, Off-line Multi-script Writer Identification using AR Coefficients, ICDAR’2009, pp. 991-995, Barcelona, July 2009.
  • Yousri Kessentini, Thierry Paquet, AbdelMajid Benhamadou, A Multi-Lingual Recognition System for Arabic and Latin Handwriting, ICDAR’2009, pp. 1196-1200, Barcelona, July 2009.
  • Yousri Kessentini, Thierry Paquet, AbdelMajid Benhamadou, Multi-Script Handwriting Recognition: From 2-Stream to Multi-Stream Approaches, ICPR’2008, Tempa, December 2008.
  • Yousri Kessentini, Thierry Paquet, AbdelMajid Benhamadou, A Multi-Stream HMM-based Approach for Off-line Multi-Script Handwritten Word Recognition, ICFHR’2008, Montreal, August 2008.
  • Clément Chatelain Laurent Heutte Thierry Paquet, Recognition-based vs syntax-directed models for numerical field extraction in handwritten documents, ICFHR’2008, Montreal, August 2008.
  • Stéphane Nicolas, Thierry Paquet, Laurent Heutte, 2D markovian models for document structure analysis, ICFHR’2008, Montreal, August 2008.
  • Yousri Kessentini, Thierry Paquet, AbdelMajid Benhamadou, A Multi-Stream Approach to Off-Line Handwritten Word Recognition, ICDAR, Curitiba, Brazil, Vol. 1, pp. 317-321, 2007.
  • Stéphane Nicolas, Julien Dardenne, Thierry Paquet, Laurent Heutte, Document Image Segmentation Using a 2D Conditionnal Random Field Model,  ICDAR, Curitiba, Brazil, Vol. 1, pp. 407-411, 2007.
  • Clément Chatelain, Sébastien Adam, Y. Lecourtier, Laurent Heutte, Thierry Paquet, Multi-Objective Optimisation for SVM Model Selection, ICDAR, Curitiba, Brazil, Vol. 1, pp. 427-431, 2007.
  • Utpal Garain, S. K. Parui, Thierry Paquet, Laurent Heutte, Machine Dating of Handwritten Manuscripts, ICDAR, Curitiba, Brazil, Vol. 2, pp. 759-763, 2007.
  • Clément Chatelain, Laurent Heutte, Thierry Paquet, A two-stage outlier rejection strategy for numerical field extraction in handwritten documents, ICPR, Hong Kong Vol. 3, pp. 224-227, 2006.
  • S. Nicolas, T. Paquet, L. Heutte, A Markovian approach for handwritten document segmentation, ICPR, Hong Kong, Vol. 3, pp. 292-295, 2006.
  • Clément Chatelain, Laurent Heutte, Thierry Paquet, Discrimination between digits and outliers in handwritten documents applied to the extraction of numerical fields, IWFHR’10, 2006, La Baule, pp. 475-480, 2006.
  • S. Nicolas, T. Paquet, L. Heutte, Markov Random Field Models to Extract the Layout of Complex Handwritten Documents, IWFHR’10, 2006, La Baule, pp. 563-568, 2006.
  • A. Wiart, T. Paquet, L. Heutte, Erasure Extraction in On-Line Captured Paper Forms, IWFHR’10 , La Baule, pp.47-52, 2006.
  • C. Chatelain, L. Heutte, T. Paquet, Segmentation-driven recognition applied to numerical field extraction from handwritten incoming mail documents, Document Analysis Sytems, 2006.
  • Stéphane Nicolas Thierry Paquet Laurent Heutte, Complex Handwritten Page Segmentation Using Contextual Models, Document Image Analysis for Librairies, DIAL, Lyon, pp. 46-57, 2006.
  • S. Glénat, L. Heutte, T Paquet, Computer-Based Diagnosis of Dyspraxia: the MEDDRAW project, 12th Conference of the International Graphonomics Society, IGS’2005, Salerno, Italy, pp. 49-53, 2005.
  • U. Garain, T. Paquet, L. Heutte. On foreground-background separation in low quality color document images. 8th International Conference on Document Analysis and Recognition, ICDAR’2005, Seoul, Korea, IEEE Proceedings, pp. 585-589, 2005.
  • S. Nicolas, Y. Kessentini, T. Paquet, L. Heutte. Handwritten document segmentation using hidden markov random fields. 8th International Conference on Document Analysis and Recognition, ICDAR’2005, Seoul, Korea, IEEE Proceedings, pp. 212-216, 2005.
  • C. Chatelain, L. Heutte, T. Paquet. A syntax-directed method for numerical field extraction using classifier combination. 9th IAPR International Workshop on Frontiers in Handwriting Recognition, IWFHR’2004, Tokyo, Japan, IEEE Proceedings, pp. 93-98, 2004.
  • S. Nicolas, T. Paquet, L. Heutte, Text Line Segmentation in Handwritten Documents using a Production System, 9th Intenational Workshop on Frontiers in Handwriting Recognition, Tokyo, IEEE proceedings, pp. 245-250, October 2004.
  • S. Nicolas, T. Paquet, L. Heutte. Enriching historical manuscripts: the Bovary project. Document Analysis Systems VI, Lecture Notes in Computer Science, Springer, LNCS 3163, pp. 135-146, 2004.
  • G. Koch, T. Paquet, L. Heutte. Combination of contextual information for handwritten word recognition. 9th IAPR International Workshop on Frontiers in Handwriting Recognition, IWFHR’2004, Tokyo, Japan, IEEE Proceedings, pp. 468-473, 2004.
  • A. Benséfia, T. Paquet, L. Heutte, Handwriting Analysis for Writer Verification, 9th Intenational Workshop on Frontiers in Handwriting Recognition, pp. 196-201, Tokyo, October 2004.
  • A. Benséfia, T. Paquet, L. Heutte, Information Retrieval Based Writer Identification, 11th Conference of the International Graphonomics society (IGS 2003), pp. 320-323 , Scottsdale, Arizona, USA, November 2003.
  • A. Benséfia, T. Paquet, L. Heutte,  Grapheme Based Writer Verification, 11th Conference of the International Graphonomics society (IGS 2003), pp. 274-277 , Scottsdale, Arizona, USA, November 2003.
  • A. Benséfia, T. Paquet, L. Heutte, Information Retrieval Based Writer Identification; ICEIS’03, Angers, FRANCE, 23-26 april 2003; pp 56-63 , 2003.
  • A. Benséfia, T. Paquet, L. Heutte, Writer Identification Using An Information Retrieval Paradigm, ICDAR’03, pp 946-950, Edinbourg 3-6 August 2003.
  • S. Nicolas, T. Paquet, L. Heutte, Digitizing cultural heritage manuscripts: the Bovary project; ACM Symposium on Document Engineering, ACM Doc Eng 2003, Grenoble, France; 2003.
  • G. Koch, L. Heutte, T. Paquet. Numerical field extraction in handwritten incoming mail documents. PRIS’2003, Angers, France, ICEIS Press, ISBN 972-98816-3-4, pp. 167-172, 2003.
  • A. Benséfia, A. Nosary, T. Paquet, L. Heutte, Writer Identification by Writer’s Invariants, International Workshop on Frontiers in Handwriting Recognition, pp. 274-279, Niagara on the Lake, Canada, 2002.
  • A. Nosary, T. Paquet, L. Heutte, A. Bensefia. Handwritten text recognition through writer adaptation. 8th International Workshop on Frontiers in Handwriting Recognition, IWFHR’02, Niagara-on-the-Lake, Canada, IEEE Proceedings, pp. 363-368, 2002.
  • A. Nosary, L. Heutte, T. Paquet, Y. Lecourtier, Defining writer’s invariants to adapt the recognition, 5th ICDAR-IEEE,  pp. 765-768, Bengalor, september 1999.
  • L. Heutte, J. V. Moreau, T. Paquet, Y. Lecourtier, C. Olivier, Combining Structural and Statistical Features for the recognition of Handwritten Characters, 13th International Conference on Pattern Recognition, IAPR-ICPR’96, Vienna, Austria, Aug. vol. 2, pp. 210-214, 1996.
  • C. Olivier, T. Paquet, M. Avila, Y. Lecourtier, Recognition of Handwritten Words using Stochastic Models, 3rd ICDAR-IEEE International Conference on Document Analysis and Recognition, Montréal, Vol. 1, pp. 19-23, Aug. 1995.
  • N. Feray, D. De Brucq, K. Romeo-Pakker, T. Paquet, Evaluation of codes and primitives: recognition of unconstrained handwritten numerals, 3rd ICDAR-IEEE International Conference on Document Analysis and Recognition, Montréal, Vol. 1, pp. 234-238, Aug. 1995.
  • A. Nosary, L. Heutte, T. Paquet, Y. Lecourtier, A Step towards the Use of Writer’s Properties for text recognition, 3rd IEE European Workshop on Handwriting Analysis and Recognition, IEE-EWHAR’98, Brussels, pp. 16-1/16-6, 1998
  • C. Olivier, P. Courtellemont, M. Avila, T. Paquet, Traitement des sommes littérales de chèque: de l’image en niveaux de gris à la reconnaissance des mots, colloque ICOHD’93, Paris, 5-7 Juillet 1993.
  • C. Olivier, M. Avila, P. Courtellemont, T. Paquet, Y. Lecourtier, Handwritten Word Recognition by Image Segmentation and Hidden Markov Models, IECON, Hawaï, 1993.
  • T.Paquet, Y. Lecourtier, Handwriting Recognition : Application on Bank cheques, 1st ICDAR-IEEE, pp. 749-757, Saint-Malo, France, 1991.
  • T. Paquet, Y. Lecourtier, Handwriting Recognition of a Restricted Lexicon, Fifth Handwriting Conference of the International Graphonomics Society, pp. 74-76, Phoenix Arizona, Oct. 1991.
  • P. Etévenon, T. Paquet, A Polygraphic Laboratory Workbench, publié dans les actes du congrès, Statistics and Topographic Problems in Quantitative EEG, Elsevier, p. 96-103, Rouen, 1988.

National Conferences

Cn 37. Philippine Barlas, Clément Chatelain, Sébastien Adam et Thierry Paquet, Détection et segmentation des blocs de textes manuscrits et imprimés dans des documents complexes, CIFED 2014, Nancy.

cn 36. K. Ait-Mohand, N. Ragot, T. Paquet. Prédiction de performances des OCR, CIFED 2012, Bordeaux.

cn 35. S. Thomas, C. Chatelain, T. Paquet, L. Heutte. Combinaison architecture profonde/HMM pour l’extraction de séquences dans des documents manuscrits, CIFED 2012, Bordeaux.

cn 34. T. Palfray, D. Hebert, S. Nicolas, T. Paquet, Segmentation logique d’images de journaux Anciens, CIFED 2012, Bordeaux.

cn 33. D. Hébert T. Paquet S. Nicolas, Champs Aléatoires Conditionnels et fonctions de caractéristique à quantification multi-échelle, Application à l’extraction de structures dans des journaux d’archive, RFIA 2012, lyon.

cn 32. D. Hébert T. Paquet S. Nicolas, Champs de Markov Cachés 2D à composantes séparables, application à l’extraction de structures de journaux anciens, RFIA, Janvier 2010, Caen.

cn 31. M. Kamel Ait-Mohand, Laurent Heutte, Thierry Paquet, Nicolas Ragot, Adaptation d’un système d’OCR Markovien à de nouvelles fontes, RFIA, janvier 2010

cn 30. Yousri Kessentini, Thierry Paquet, Thomas Burger, Comparaison des méthodes probabilistes et évidentielles de fusion de classifieurs pour la reconnaissance de mots manuscrits, CIFED 2010, pp.

cn 29. Kamel Ait-Mohand, Laurent Heutte, Thierry Paquet, Nicolas Ragot, Adaptation de modèles de Markov cachés, Application à la reconnaissance de caractères imprimés, CIFED 2010, pp.

cn 28. Simon Thomas, Thierry Paquet, Laurent Heutte, Clément Chatelain, Un système générique d’extraction d’information dans des documents manuscrits non-contraints, CIFED 2010, pp.

cn 27. Y. Kessentini, T. Paquet, A. Benhamadou, Combinaison de caractéristiques bas niveau à travers des modèles N-flux dans le cadre de la reconnaissance de l’écriture manuscrite multi-scripts, CIFED’08, pp. , Octobre 2008.

S. Nicolas, J. Dardenne, T. Paquet, L. Heutte, Un modèes de champs aléatoire 2D appliqué à la segmentation d’images de documents, RFIA, pp. 304-312, Janvier 2008.

Y. Kessentini, T. Paquet, A. Benhamadou, Combinaison d’Information pour la Reconnaissance de l’Ecriture Manuscrite Hors Ligne, RFIA, pp 109-117, Janvier 2008.

C. Chatelain, S. Adam, Y. Lecourtier, L. Heutte, T. Paquet, Optimisation multi-objectif pour la sélection de modèles SVM, RFIA, pp. 490-497, Janvier 2008.

Y. Kessentini, T. Paquet, A. Benhamadou, Modèles Multi-flux pour la Reconnaissance de mots manuscrits, GRETSI, pp – , Septembre 2007.

Clément Chatelain, Laurent Heutte, Thierry Paquet, Discrimination chiffre/rejet pour l’extraction de champs numériques dans des documents manuscrits, CIFED’06, pp. 55-60, Fribourg, 2006.

Alain Wiart, Thierry Paquet, Laurent Heutte, Localisation des ratures dans les formulaires papier numérisés en ligne, CIFED’06, pp. 169-174, Fribourg, 2006.

S. Nicolas, T. Paquet, L. Heutte, Extraction de la structure de documents manuscrits complexes à l’aide de champs Markoviens, CIFED’06, pp. 13-18, Fribourg, 2006.

Clément Chatelain, Laurent Heutte, Thierry Paquet, Extraction automatique de champs numériques dans des documents manuscrits, EGC’06, Vol. 1, pp. 23-34, Lille, 2006.

Clément Chatelain, Laurent Heutte, Thierry Paquet, Reconnaissance de champs numériques dans des documents manuscrits, RFIA’06, pp. 45-50, Tours, 2006.

A. Benséfia, T. Paquet, L. Heutte, A. Nosary, Vérification du scripteur, Conférence Internationale Francophone sur l’Ecrit et le Document, pp. 285-294, Semaine du Document Numérique, La Rochelle, Juin 2004.

A. Benséfia, T. Paquet, L. Heutte, Identification et Vérification du Scripteur : 2 approches complémentaires pour l’analyse quantitative des documents manuscrits, RFIA’04, pp. 1513-1521 , Toulouse, Janvier 2004.

S. Nicolas, T. Paquet, L. Heutte. Un panorama des méthodes syntaxiques pour la segmentation d’images de documents manuscrits. Conférence Internationale Francophone sur l’Ecrit et le Document,
CIFED’2004, La Rochelle, France, pp. 237-242, 2004.

G. Koch, L. Heutte, T. Paquet. Extraction de séquences numériques dans des courriers manuscrits. RFIA’2004, Toulouse, vol. 3, pp. 1503-1511, 2004.

A. Benséfia, T. Paquet, L. Heutte, Recherche d’Information dans une Base de Documents Manuscrits, Colloque International sur le Document Electronique, CIDE’06, pp. 183-197, Caen, novembre 2003.

A. Benséfia, L. Heutte, T. Paquet, A. Nosary, Identification du scripteur par représentation graphèmes, Conférence Internationale Francophone sur l’Ecrit et le Document, CIFED’02, pp. 285-294, Hammamet, Tunisie, 2002.

A. Nosary, T. Paquet, L. Heutte. Reconnaissance de textes manuscrits par adaptation au scripteur. Colloque International Francophone sur l’Ecrit et le Document, CIFED’2002, Hammamet, Tunisie, pp. 365-374, 2002.

A. Nosary, L. Heutte, T. Paquet. Reconnaissance de mots manuscrits par segmentation-reconnaissance: apports d’une reconnaissance lettres par niveau avec rejet. Colloque International Francophone sur l’Ecrit et le Document, CIFED’2002, Hammamet, Tunisie, pp. 355-364, 2002.

T. Paquet, L. Heutte, A. Nosary, Y. Lecourtier. Problématique de la Reconnaissance de l’Ecriture. Communication Multimédia, Premières Rencontres des STI, ASTI’2001, Paris, France, pp. 53 (CDROM), 2001.

A. Nosary, L. Heutte, T. Paquet, C. Hernoux. Lecture automatique de textes manuscrits basée sur une architecture multi-agents. Colloque International Francophone sur l’Ecrit et le Document, CIFED’2000, Lyon, France, pp. 363-372, 2000.

cn 7. T. Paquet, A. Nosary, L. Heutte, Y. Lecourtier. Apprendre l’écriture du scripteur pour adapter la reconnaissance. 12ème Congrès Francophone AFRIF-RFIA, RFIA’2000, Paris, France, vol. 3, pp. 337-346, 2000.

cn 6. T. Paquet, M. Avila, C. Olivier, Word Modeling for Handwritten Word Recognition, Vision Inteface’99, Trois Rivières, Canada, mai 1999.

cn 5. M. Avila, T. Paquet, C. Olivier, Modélisation de mots manuscrits : une étude comparative, Congrès RFIA’98, Vol. II, pp. 425-432, Clermont-Ferrand , Janvier 1998.

T. Paquet, C. Olivier, M. Avila, Y. Lecourtier, Reconnaissance de mots manuscrits par modèles markoviens, 15ème colloque GRETSI, Juan les Pins, Septembre 1995.

M. Avila, C. Olivier, T. Paquet, Y. Lecourtier, Procédure de reconnaissance de l’écriture manuscrite basée sur des chaînes de Markov cachées et appliquées à un vocabulaire limité, 14ème colloque GRETSI, Juan les Pins, 13-16 Septembre1993.

T. Paquet, Y. Lecourtier, Reconnaissance de l’écriture manuscrite sur des chèques, 8ème Conférence Afcet RF-IA, pp. 687-694, Lyon, Nov. 91.

T. Paquet, R. Mullot, E. Trupin, K. Roméo, Y. Lecourtier, Un algorithme rapide de détection des mots d’un texte manuscrit, 7ème Conférence Afcet RF-IA, pp. 1501-1510, Paris, Nov. 1989.