High Performance Unconstrained Word Recognition System Combining HMMs and Markov Random Field

Autor: George Saon, Abdel Belaïd
Přispěvatelé: READ (READ), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique de Lorraine (INPL)-Université Nancy 2-Université Henri Poincaré - Nancy 1 (UHP)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique de Lorraine (INPL)-Université Nancy 2-Université Henri Poincaré - Nancy 1 (UHP)-Institut National de Recherche en Informatique et en Automatique (Inria), Institut National de Recherche en Informatique et en Automatique (Inria)-Université Henri Poincaré - Nancy 1 (UHP)-Université Nancy 2-Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Henri Poincaré - Nancy 1 (UHP)-Université Nancy 2-Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS), Impedevo, S and Wang, P. S. and Bunke, Belaid, Abdel, Impedevo, S and Wang, P. S. and Bunke, H
Jazyk: angličtina
Rok vydání: 1997
Předmět:
Ecriture
Computer science
Speech recognition
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Word
050801 communication & media studies
02 engineering and technology
Markov model
0508 media and communications
Chèque postal
Artificial Intelligence
Pattern recognition
0202 electrical engineering
electronic engineering
information engineering
[INFO.INFO-DL]Computer Science [cs]/Digital Libraries [cs.DL]
Hidden Markov model
Amount Cheques
Random field
Markov chain
business.industry
Champ aléatoire
05 social sciences
Conditional probability
Modèle Markov
Mot
ComputingMethodologies_PATTERNRECOGNITION
Random Fields
Handweiting Recognition
Reconnaissance forme
Word recognition
Pattern recognition (psychology)
ComputingMethodologies_DOCUMENTANDTEXTPROCESSING
Hand writing
020201 artificial intelligence & image processing
Computer Vision and Pattern Recognition
Artificial intelligence
Modèle Markov variable cachée
[INFO.INFO-DL] Computer Science [cs]/Digital Libraries [cs.DL]
business
Software
Word (computer architecture)
Zdroj: International Journal of Pattern Recognition and Artificial Intelligence
International Journal of Pattern Recognition and Artificial Intelligence, World Scientific Publishing, 1997, 11 (5), pp.771-788. ⟨10.1142/S0218001497000342⟩
International Journal of Pattern Recognition and Artificial Intelligence, 1997, 11 (5), pp.771-788. ⟨10.1142/S0218001497000342⟩
Automatic Bankcheck Processing
Impedevo, S and Wang, P. S. and Bunke, H. Automatic Bankcheck Processing, World Scientific Publishing, pp.309-325, 1997
ISSN: 0218-0014
DOI: 10.1142/S0218001497000342⟩
Popis: International audience; In this paper we present a system for the recognition of handwritten words on literal check amounts which advantageously combine HMMs and Markov random fields (MRFs). It operates at pixel level, in a holistic manner, on height normalized word images which are viewed as random field realizations. The HMM analyzes the image along the horizontal writing direction, in a specific state observation probability given by the column product of causal MRF-like pixel conditional probabilities. Aspects concerning definition, training and recognition via this type of model are developed throughout the paper. We report a 90.08% average word recognition rate on 2378 words and a 79.52% amount rate on 579 amounts of the SRTP (Service de Recherche Technique de la Poste) French postal check database (7031 words, 1779 amounts, different scriptors).
Databáze: OpenAIRE
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