Improvements in RWTH's system for off-line handwriting recognition

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

Volumn , Issue , 2013, Pages 935-939

  Kozielski, Michal ^a   Doetsch, Patrick ^a   Ney, Hermann ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CUMULATIVE EFFECTS; DISCRIMINATIVE FEATURE EXTRACTION; IMAGE NORMALIZATION; IMAGE OBJECT RECOGNITION; LARGE VOCABULARY SPEECH RECOGNITION; OFFLINE HANDWRITING RECOGNITION; STANDARD EVALUATIONS; STATE-OF-THE-ART APPROACH;

FEATURE EXTRACTION; SPEECH RECOGNITION;

OBJECT RECOGNITION;

EID: 84889587972     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2013.190     Document Type: Conference Paper

References (29)

1. M. Kozielski, J. Forster, and H. Ney, "Moment-based image normalization for handwritten text recognition," in International Conference on Frontiers in Handwriting Recognition, Bari, Italy, Sep. 2012, pp. 256-261.
2. M. Pastor, A. Toselli, and E. Vidal, "Projection profile based algorithm for slant removal," in Image Analysis and Recognition, ser. Lecture Notes in Computer Science, A. Campilho and M. Kamel, Eds. Springer Berlin / Heidelberg, 2004, vol. 3212, pp. 183-190.
3. A. Vinciarelli and J. Luettin, "A new normalization technique for cursive handwritten words," Pattern Recognition Letters, vol. 22, no. 9, pp. 1043-1050, 2001.
4. M. P. i Gadea, A. H. Toselli, V. Romero, and E. Vidal, "Improving handwritten off-line text slant correction," in Procc. of The Sixth IASTED international Conference on Visualization, Imaging, and Image Processing (VIIP 06), 2006.
5. P. Dreuw, D. Rybach, C. Gollan, and H. Ney, "Writer adaptive training and writing variant model refinement for offline Arabic handwriting recognition," in International Conference on Document Analysis and Recognition, Barcelona, Spain, Jul. 2009, pp. 21-25.
6. M. Zimmermann and H. Bunke, "Hidden markov model length optimization for handwriting recognition systems," in Frontiers in Handwriting Recognition, 2002. Proceedings. Eighth International Workshop on, 2002, pp. 369-374.
7. M. Gales, "Maximum likelihood linear transformations for HMM-based speech recognition," Computer Speech &Language, vol. 12, no. 2, pp. 75-98, 1998.
8. C. Leggetter and P. Woodland, "Flexible speaker adaptation using maximum likelihood linear regression," in Proc. ARPA Spoken Language Technology Workshop. Morgan Kaufmann, 1995, pp. 110-115.
9. P. Dreuw, P. Doetsch, C. Plahl, and H. Ney, "Hierarchical hybrid MLP/HMM or rather MLP features for a discriminatively trained gaussian HMM: a comparison for offline handwriting recognition," in IEEE International Conference on Image Processing, Brussels, Belgium, Sep. 2011.
10. H. Hermansky, D. P. W. Ellis, and S. Sharma, "Tandem connectionist feature extraction for conventional HMM systems," in Acoustics, Speech, and Signal Processing (ICASSP), 2000 IEEE International Conference on.
11. M. Liwicki, A. Graves, H. Bunke, and J. Schmidhuber, "A novel approach to on-line handwriting recognition based on bidirectional long short-term memory networks," in Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR), 2007.
12. A. Graves, M. Liwicki, S. Fernandez, R. Bertolami, H. Bunke, and J. Schmidhuber, "A novel connectionist system for unconstrained handwriting recognition," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 31, no. 5, pp. 855-868, May 2009.
13. P. J. Werbos, "Backpropagation through time: what it does and how to do it," Proceedings of the IEEE, vol. 78, no. 10, pp. 1550-1560, Oct. 1990.
14. D. Povey and P. C. Woodland, "Minimum phone error and ismoothing for improved discriminative training," in Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on.
15. P. Dreuw, G. Heigold, and H. Ney, "Confidence-and marginbased MMI/MPE discriminative training for off-line handwriting recognition," Int. J. Doc. Anal. Recognit., vol. 14, no. 3, pp. 273-288, Sep. 2011.
16. A. Rastrow, A. Sethy, B. Ramabhadran, and F. Jelinek, "Towards using hybrid word and fragment units for vocabulary independent LVCSR systems," in INTERSPEECH 2009, 10th Annual Conference of the International Speech Communication Association, Brighton, United Kingdom, Sep. 2009, pp. 1931-1934.
17. K. Vertanen, "Combining open vocabulary recognition and word confusion networks," in Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on, Apr. 2008, pp. 4325-4328.
18. I. Bazzi, R. Schwartz, and J. Makhoul, "An omnifont openvocabulary OCR system for English and Arabic," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 21, no. 6, pp. 495-504, Jun. 1999.
19. M. Kozielski, D. Rybach, S. Hahn, R. Schluter, and H. Ney, "Open vocabulary handwriting recognition using combined word-level and character-level language models," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2013, in press.
20. U.-V. Marti and H. Bunke, "The IAM-database: an English sentence database for offline handwriting recognition," International Journal on Document Analysis and Recognition, vol. 5, pp. 39-46, Nov. 2002.
21. S. Johansson, E. Atwell, R. Garside, and G. Leech, The Tagged LOB Corpus: User's Manual, Norwegian Computing Centre for the Humanities, 1986.
22. W. Francis and H. Kucera, "Brown corpus manual, manual of information to accompany a standard corpus of present-day edited American English," Tech. Rep., 1979.
23. L. Bauer, "Manual of information to accompany the Wellington corpus of written New Zealand English," Tech. Rep., 1993.
24. E. Augustin, M. Carre, G. E., J. M. Brodin, E. Geoffrois, and F. Preteux, "Rimes evaluation campaign for handwritten mail processing," in Proceedings of the Workshop on Frontiers in Handwriting Recognition, 2006, pp. 231-235.
25. S. Espana-Boquera, M. Castro-Bleda, J. Gorbe-Moya, and F. Zamora-Martinez, "Improving offline handwritten text recognition with hybrid HMM/ANN models," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 33, no. 4, pp. 767-779, Apr. 2011.
26. A. H. Toselli, V. Romero, M. P. i Gadea, and E. Vidal, "Multimodal interactive transcription of text images," Pattern Recognition, vol. 43, no. 5, pp. 1814-1825, 2010.
27. R. Bertolami and H. Bunke, "Hidden markov model-based ensemble methods for offline handwritten text line recognition," Pattern Recognition, vol. 41, no. 11, pp. 3452-3460, Nov. 2008.
28. F. Menasri, J. Louradour, A.-L. Bianne-Bernard, and C. Kermorvant, "The A2iA French handwriting recognition system at the Rimes-ICDAR2011 competition. " in Document Recognition and Retrieval Conference, ser. SPIE Proceedings, C. Viard-Gaudin and R. Zanibbi, Eds., vol. 8297. SPIE, 2012.
29. E. Grosicki and H. El Abed, "ICDAR 2009 handwriting recognition competition," in Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on, Jul. 2009, pp. 1398-1402.