Automatic recognition of handwritten numerical strings: a recognition and verification strategy
作者： L.S. Oliveira , R. Sabourin , F. Bortolozzi , C.Y. Suen
DOI: 10.1109/TPAMI.2002.1046154
关键词:
摘要: A modular system to recognize handwritten numerical strings is proposed. It uses a segmentation-based recognition approach and verification strategy. The combines the outputs from different levels such as segmentation, recognition, postprocessing in probabilistic model. new scheme which contains two verifiers deal with problems of oversegmentation undersegmentation presented. feature set also introduced feed verifier. postprocessor based on deterministic automaton used global decision module makes an accept/reject decision. Finally, experimental results databases are presented: amounts Brazilian bank checks NIST SD19. latter aims at validating concept showing robustness using well-known database.
etsmtl.ca
acm.org
researchgate.net 
sci-hub.se 参考文章(27)
I. Lee Hetherington, Victor W. Zue, Hong C. Leung, Speech recognition using stochastic explicit-segment modeling. conference of the international speech communication association. ,(1991)
Christopher M. Bishop, Neural networks for pattern recognition ,(1995)
S.J. So, J. Kim, J.H. Kim, VERIFICATION OF GRAPHEMES USING NEURAL NETWORKS IN AN HMMBASED ONLINE KOREAN HANDWRITING RECOGNITION SYSTEM s.n.. ,(2004)
H. Tokahashi, T.D. Griffin, Recognition enhancement by linear tournament verification international conference on document analysis and recognition. pp. 585- 588 ,(1993) , 10.1109/ICDAR.1993.395667
L. Heutte, J.V. Moreau, B. Plessis, J.L. Plagnaud, Y. Lecourtier, Handwritten numeral recognition based on multiple feature extractors Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93). pp. 167- 170 ,(1993) , 10.1109/ICDAR.1993.395757
G. Kaufmann, H. Bunke, Automated Reading of Cheque Amounts Pattern Analysis and Applications. ,vol. 3, pp. 132- 141 ,(2000) , 10.1007/S100440070018
Michael D. Richard, Richard P. Lippmann, Neural Network Classifiers Estimate Bayesian a posteriori Probabilities. Neural Computation. ,vol. 3, pp. 461- 483 ,(1991) , 10.1162/NECO.1991.3.4.461
G. Dimauro, S. Impedovo, G. Pirlo, A. Salzo, Automatic Bankcheck Processing: A New Engineered System International Journal of Pattern Recognition and Artificial Intelligence. ,vol. 11, pp. 467- 504 ,(1997) , 10.1142/S0218001497000214
R.P. Lippmann, Pattern classification using neural networks IEEE Communications Magazine. ,vol. 27, pp. 47- 50 ,(1989) , 10.1109/35.41401
L. Heutte, P. Barbosa-Pereira, O. Bougeois, J. V. Moreau, B. Plessis, P. Courtellemont, Y. Lecourtier, Multi-bank check recognition system : Consideration on the numeral amount recognition module International Journal of Pattern Recognition and Artificial Intelligence. ,vol. 11, pp. 595- 618 ,(1997) , 10.1142/S0218001497000251