Multiple handwritten text line recognition systems derived from specific integration of a language model

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn 2005, Issue , 2005, Pages 521-527

  Bertolami, Roman ^a   Bunke, Horst ^a  

^a UNIVERSITY OF BERN   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; FORMAL LANGUAGES; HIDDEN MARKOV MODELS; STATISTICAL METHODS;

LANGUAGE MODELS; MULTIPLE RECOGNITION; RECOGNITION SYSTEMS; TEXT LINE RECOGNITION SYSTEMS;

CHARACTER RECOGNITION;

EID: 33749585368     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2005.167     Document Type: Conference Paper

References (23)

1. A. Brakensiek and G. Rigoll. Handwritten address recognition using hidden Markov models. In A. Dengel, M. Junker, and A. Weisbecker, editors, Reading and Learning, pages 103-122. Springer, 2004.
2. J. Fiscus. A post-processing system to yield reduced word error rates: Recognizer output voting error reduction. In IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), Santa Barbara, pages 347-352, 1997.
3. P. Gader, M. Mohamed, and J. Keller. Fusion of handwritten word classifiers. Pattern Recognition Letters, 17:577-584, 1996.
4. S. Günter and H. Bunke. Ensembles of classifiers for handwritten word recognition. International Journal on Document Analysis and Recognition, 5(4):224 - 232, 2003.
5. T. Huang and C. Suen. Combination of multiple experts for the recognition of unconstrained handwritten numerals. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17:90-94, 1995.
6. S. Johansson, E. Atwell, R. Garside, and G. Leech. The Tagged LOB Corpus, User's Manual. Norwegian Computing Center for the Humanities, Bergen, Norway, 1986.
7. G. Kim, V. Govindaraju, and S. Srihari. Architecture for handwritten text recognition systems. In S.-W. Lee, editor, Advances in Handwriting Recognition, pages 163-172. World Scientific Publ. Co., 1999.
8. V. Lavrenko, T. Rath, and R. Manmatha. Holistic word recognition for handwritten historical documents. In International Workshop on Document Image Analysis for Libraries, Palo Alto, USA, pages 278-287, 2004.
9. U.-V. Marti and H. Bunke. Using a statistical language model to improve the performance of an HMM-based cursive handwriting recognition system. International Journal of Pattern Recognition and Artificial Intelligence, 15:65-90, 2001.
10. U.-V. Marti and H. Bunke. The IAM-database: an English sentence database for offline handwriting recognition. International Journal on Document Analysis and Recognition, 5:39-46, 2002.
11. H. Schwenk and J. Gauvain. Combining multiple speech recognizers using voting & language model information. In International Conference on Speech and Language Processing (ICSLP), Beijing, China, pages 915 - 918, 2000.
12. A. Senior and A. Robinson. An off-line cursive handwriting recognition system. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(3):309-321, 1998.
13. K. Sirlantzkis, M. Fairhurst, and M. Hoque. Genetic algorithm for multiple classifier configuration: A case study in character recognition. In J. Kittler and F. Roli, editors, 2nd International Workshop on Multiple Classifier Systems (MCS), Cambridge, England, pages 99-108, 2001.
14. A. Vinciarelli, S. Bengio, and H. Bunke. Offline recognition of unconstrained handwritten texts using HMMs and statistical language models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(6):709-720, 2004.
15. A. Vinciarelli and J. Luettin. Off-line cursive script recognition based on continuous density HMM. In 7th International Workshop on Frontiers in Handwriting Recognition, Amsterdam, The Netherlands, pages 493-498, 2000.
16. R. Wagner and M. Fischer. The string-to-string correction problem. Journal of the ACM, 21(1): 168-173, 1974.
17. L. Wang and T. Jiang. On the complexity of multiple sequence alignment. Journal of Computational Biology, 1(4):337-348, 1994.
18. W. Wang, A. Brakensiek, and G. Rigoll. Combination of multiple classifiers for handwritten word recognition. In 8th International Workshop on Frontiers in Handwriting Recognition, Niagara-on-the-Lake, Canada, pages 117-122, 2002.
19. X. Ye, M. Cheriet, and C. Y. Suen. Strcombo: combination of string recognizers. Pattern Recognition Letters, 23:381-394, 2002.
20. T. Zeppenfeld, M. Finke, K. Ries, M. Westphal, and A. Waibel. Recognition of conversational telephone speech using the janus speech engine. In International Conference on Acoustics, Speech, and Signal Processing, Munich, Germany, pages 1815-1818, Munich, Germany, 1997.
21. M. Zimmermann, R. Bertolami, and H. Bunke. Rejection strategies for offline handwritten sentence recognition. In 17th International Conference on Pattern Recognition, Cambridge, England, volume 2, pages 550-553, 2004.
22. M. Zimmermann and H. Bunke. Hidden Markov model length optimization for handwriting recognition systems. In 8th International Workshop on Frontiers in Handwriting Recognition, Niagara-on-the-Lake, Canada, pages 369-374, 2002.
23. M. Zimmermann and H. Bunke. Optimizing the integration of a statistical language model in HMM based offline handwriting text recognition. In 17th International Conference on Pattern Recognition, Cambridge, England, volume 2, pages 541-544, 2004.