Travelled to:
1 × Austria
1 × Brazil
1 × India
1 × Korea
1 × Spain
1 × Turkey
1 × United Kingdom
2 × China
2 × France
4 × USA
Collaborated with:
L.Heutte S.Nicolas Y.Kessentini C.Chatelain U.Garain Y.Lecourtier D.Hebert N.Ragot A.B.Hamadou K.Ait-Mohand G.Bideault L.Mioulet C.Olivier S.Adam A.B.Salah T.Burger A.Guermazi A.Bensefia G.Koch S.Thomas S.K.Parui J.Dardenne A.Nosary N.Feray D.d.Brucq K.Romeo-Pakker M.Avila S.Brunessaux T.Kasar P.Barlas T.Palfray P.Tranouez J.Moreau
Talks about:
handwritten (14) document (10) recognit (9) multi (6) word (6) use (6) extract (5) segment (4) model (4) adapt (4)
Person: Thierry Paquet
DBLP: Paquet:Thierry
Contributed to:
Wrote 30 papers:
- DRR-2015-BideaultMCP #architecture #regular expression #using #word
- Spotting handwritten words and REGEX using a two stage BLSTM-HMM architecture (GB, LM, CC, TP).
- DRR-2015-MiouletBCPB #architecture #multi #network #recognition
- Exploring multiple feature combination strategies with a recurrent neural network architecture for off-line handwriting recognition (LM, GB, CC, TP, SB).
- DRR-2013-SalahRP #adaptation #assessment #automation #detection #quality
- Adaptive detection of missed text areas in OCR outputs: application to the automatic assessment of OCR quality in mass digitization projects (ABS, NR, TP).
- ICDAR-2013-HebertNP #documentation #framework #image
- Discrete CRF Based Combination Framework for Document Image Binarization (DH, SN, TP), pp. 1165–1169.
- ICDAR-2013-KasarBACP #detection #documentation #image #learning #using
- Learning to Detect Tables in Scanned Document Images Using Line Information (TK, PB, SA, CC, TP), pp. 1185–1189.
- ICDAR-2013-KessentiniCP #detection #documentation #regular expression #word
- Word Spotting and Regular Expression Detection in Handwritten Documents (YK, CC, TP), pp. 516–520.
- DocEng-2012-PalfrayHNTP #logic #segmentation
- Logical segmentation for article extraction in digitized old newspapers (TP, DH, SN, PT, TP), pp. 129–132.
- ICDAR-2011-BurgerKP #recognition #word
- Dempster-Shafer Based Rejection Strategy for Handwritten Word Recognition (TB, YK, TP), pp. 528–532.
- ICDAR-2011-HebertPN #multi
- Continuous CRF with Multi-scale Quantization Feature Functions Application to Structure Extraction in Old Newspaper (DH, TP, SN), pp. 493–497.
- ICDAR-2011-KessentiniPG #algorithm #multi #recognition #word
- An Optimized Multi-stream Decoding Algorithm for Handwritten Word Recognition (YK, TP, AG), pp. 192–196.
- DRR-2010-Ait-MohandHPR #adaptation
- Font adaptation of an HMM-based OCR system (KAM, LH, TP, NR), pp. 1–10.
- ICPR-2010-Ait-MohandPRH #adaptation
- Structure Adaptation of HMM Applied to OCR (KAM, TP, NR, LH), pp. 2877–2880.
- ICPR-2010-ThomasCHP #documentation #information management
- An Information Extraction Model for Unconstrained Handwritten Documents (ST, CC, LH, TP), pp. 3412–3415.
- ICDAR-2009-GarainP #identification #multi #using
- Off-Line Multi-Script Writer Identification Using AR Coefficients (UG, TP), pp. 991–995.
- ICDAR-2009-KessentiniPB #multi #recognition
- A Multi-Lingual Recognition System for Arabic and Latin Handwriting (YK, TP, ABH), pp. 1196–1200.
- ICDAR-2007-ChatelainALHP #multi #optimisation
- Multi-Objective Optimization for SVM Model Selection (CC, SA, YL, LH, TP), pp. 427–431.
- ICDAR-2007-GarainPPH
- Machine Dating of Handwritten Manuscripts (UG, SKP, TP, LH), pp. 759–763.
- ICDAR-2007-KessentiniPB #approach #multi #recognition #word
- A Multi-stream Approach to Off-Line Handwritten Word Recognition (YK, TP, ABH), pp. 317–321.
- ICDAR-2007-NicolasDPH #2d #documentation #image #random #segmentation #using
- Document Image Segmentation Using a 2D Conditional Random Field Model (SN, JD, TP, LH), pp. 407–411.
- ICPR-v3-2006-ChatelainHP #documentation
- A two-stage outlier rejection strategy for numerical field extraction in handwritten documents (CC, LH, TP), pp. 224–227.
- ICPR-v3-2006-NicolasPH #approach #documentation #markov #segmentation
- A Markovian Approach for Handwritten Document Segmentation (SN, TP, LH), pp. 292–295.
- ICDAR-2005-GarainPH #documentation #image #on the #quality
- On Foreground-Background Separation in Low Quality Color Document Images (UG, TP, LH), pp. 585–589.
- ICDAR-2005-NicolasKPH #documentation #markov #random #segmentation #using
- Handwritten Document Segmentation Using Hidden Markov Random Fields (SN, YK, TP, LH), pp. 212–216.
- DocEng-2003-NicolasPH
- Digitizing cultural heritage manuscripts: the Bovary project (SN, TP, LH), pp. 55–57.
- ICDAR-2003-BensefiaPH #identification #information retrieval
- Information Retrieval Based Writer Identification (AB, TP, LH), pp. 946–950.
- ICDAR-2003-KochHP #documentation #sequence
- Numerical Sequence Extraction in Handwritten Incoming Mail Documents (GK, LH, TP), pp. 369–373.
- ICDAR-1999-NosaryHPL #adaptation #invariant #recognition
- Defining Writer’s Invariants to Adapt the Recognition Task (AN, LH, TP, YL), pp. 765–768.
- ICPR-1996-HeutteMPLO #recognition #statistics
- Combining structural and statistical features for the recognition of handwritten characters (LH, JVM, TP, YL, CO), pp. 210–214.
- ICDAR-v1-1995-FerayBRP #evaluation #recognition
- Evaluation of codes and primitives: recognition of unconstrained handwritten numerals (NF, DdB, KRP, TP), pp. 104–107.
- ICDAR-v1-1995-OlivierPAL #modelling #probability #recognition #using #word
- Recognition of handwritten words using stochastic models (CO, TP, MA, YL), pp. 19–23.