Travelled to:
1 × Austria
1 × Brazil
1 × China
1 × India
1 × Japan
1 × Korea
1 × Spain
1 × Turkey
2 × France
2 × USA
2 × United Kingdom
Collaborated with:
T.Paquet Y.Lecourtier S.Nicolas H.Zouari C.Chatelain J.Moreau U.Garain S.Adam K.Ait-Mohand N.Ragot A.M.Alimi B.Plessis S.Bernard A.Bensefia G.Koch V.Dovgalecs A.Burnett P.Tranouez S.Thomas F.Montreuil E.Grosicki S.K.Parui J.Dardenne Y.Kessentini A.Nosary C.Olivier J.L.Plagnaud P.Barbosa-Pereira O.Bougeois P.Courtellemont A.Sicsu E.Menu E.Lecolinet O.Debon Y.Liang R.M.Guest M.C.Fairhurst
Talks about:
handwritten (11) document (10) recognit (6) use (5) extract (4) random (4) combin (4) numer (4) field (4) classifi (3)
Person: Laurent Heutte
DBLP: Heutte:Laurent
Contributed to:
Wrote 25 papers:
- ICDAR-2013-DovgalecsBTNH #documentation #exclamation #word
- Spot It! Finding Words and Patterns in Historical Documents (VD, AB, PT, SN, LH), pp. 1039–1043.
- DocEng-2012-TranouezNDBHLGF #documentation #named #physics
- DocExplore: overcoming cultural and physical barriers to access ancient documents (PT, SN, VD, AB, LH, YL, RMG, MCF), pp. 205–208.
- 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-MontreuilGHN #2d #documentation #layout #random #using
- Unconstrained Handwritten Document Layout Extraction Using 2D Conditional Random Fields (FM, EG, LH, SN), pp. 853–857.
- ICDAR-2007-BernardAH #random #recognition #using
- Using Random Forests for Handwritten Digit Recognition (SB, SA, LH), pp. 1043–1047.
- 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-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.
- ICPR-v3-2006-ZouariHL #comparison #using
- Experimental Comparison of Combination Rules using Simulated Data (HZ, LH, YL), pp. 152–155.
- 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.
- ICPR-v1-2004-ZouariHLA #classification #performance #simulation
- Simulating Classifier Ensembles of Fixed Diversity for Studying Plurality Voting Performance (HZ, LH, YL, AMA), pp. 232–235.
- 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-2003-ZouariHLA #classification #parallel
- A New Classifier Simulator for Evaluating Parallel Combination Methods (HZ, LH, YL, AMA), pp. 26–30.
- ICDAR-1999-NosaryHPL #adaptation #invariant #recognition
- Defining Writer’s Invariants to Adapt the Recognition Task (AN, LH, TP, YL), pp. 765–768.
- ICPR-1996-Barbosa-PereiraHBMPCL #multi #recognition
- Numeral amount recognition on multi-bank cheques (PBP, LH, OB, JVM, BP, PC, YL), pp. 165–169.
- 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-1993-HeutteMPPL #multi #recognition
- Handwritten numeral recognition based on multiple feature extractors (LH, JVM, BP, JLP, YL), pp. 167–170.
- ICDAR-1993-PlessisSHMLDM #classification #multi #recognition #word
- A multi-classifier combination strategy for the recognition of handwritten cursive words (BP, AS, LH, EM, EL, OD, JVM), pp. 642–645.