Aligning transcripts to automatically segmented handwritten manuscripts

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3872 LNCS, Issue , 2006, Pages 84-95

  Rothfeder, Jamie ^a,b   Manmatha, R ^a   Rath, Toni M ^a,b  

^a Biologically Inspired Neural and Dynamical Systems Laboratory   (United States)

^b GOOGLE INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATASETS; HANDWRITING RECOGNITION; HANDWRITTEN DATASETS; WARPING ALIGNMENT;

ALGORITHMS; AUTOMATIC PROGRAMMING; DATA REDUCTION; ERROR ANALYSIS; INFORMATION RETRIEVAL; WORD PROCESSING;

PATTERN RECOGNITION SYSTEMS;

EID: 33745580637     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11669487_8     Document Type: Conference Paper

References (18)

1. Y. Deng and W. Byrne. Hmm word and phrase alignment for statistical machine translation. In Proceedings of HLT-EMNLP, 2005.
2. R. Durbin, S. Eddy, A. Krogh, and G. Mitchison. Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids. Cambridge University Press, 2001.
3. J. D. Hobby. Matching document images with ground truth. International Journal on Document Analysis and Recognition, 1(1):52-61, 1997.
4. M. Kay and M. Roscheisen. Text-translation alignment. Computational Linguistics, 19(1):121-142, March 1993.
5. E. M. Kornfield, R. Manmatha, and J. Allan. Text alignment with handwritten documents. In Proceedings of Document Image Analysis for Libraries (DIAL), pages 23-24, 2004.
6. V. Lavrenko, T. M. Rath, and R. Manmatha. Holistic word recognition for handwritten historical documents. In Proceedings of the Workshop on Document Image Analysis for Libraries DIAL'04, pages 278-287, 2004.
7. F. Malfrre, O. Deroo, and T. Dutoit. Phonetic alignment: Speech synthesis based vs. hybrid hmm/ann. In Proceedings of the ICSLP, pages 1571-1574, 1998.
8. R. Manmatha and J. L. Rothfeder. A scale space approach for automatically segmenting words from historical handwritten documents. IEEE Transactions on PAMI, 28(8): 1212-1225, August 2005.
9. R. Manmatha and N. Srimal. Scale space technique for word segmentation in handwritten manuscripts. In Proc. of the Second Int'l Conf. on Scale-Space Theories in Computer Vision, pages 22-33, Corfu, Greece, September 26-27 1999.
10. U. V. Marti and H. Bunke. A full English sentence database for off-line handwriting recognition. In Proc. of the 5th Int. Conf. on Document Analysis and Recognition, Gangalore, India, pages 705-708, 1999.
11. U.-V. Marti and H. Bunke. Using a statistical language model to improve the performance of an HMM-based cursive handwriting recognition system. Int'l Journal of Pattern Recognition and Artifical Intelligence, 15(1):65-90, 2001.
12. P.J.Jang and A. G. Hauptmann. Learning to recognize speech by watching television. IEEE Intelligent Systems, 14(5):51-58, 1999.
13. T. M. Rath, V. Lavrenko, and R. Manmatha. A search engine for historical manuscript images. In Proceedings of ACM SIGIR'04, pages 369-376, 2004.
14. T. M. Rath, J. L. Rothfeder, and V. B. Lvin. The BoxModify tool, 2004. (Computer program).
15. D. K. Roy and C. Malamud. Speaker identification based text to audio alignment for an audio retrieval system. In ICASSP '97, pages 1099-1102, Munich, Germany, 1997.
16. C. I. Tomai, B. Zhang, and V. Govindaraju. Transcript mapping for historic handwritten document images. In Proc. of the 8th Int'l Workshop on frontiers in Handwriting Recognition, pages 413-418, Niagara-on-the-Lake, ON, August 6-8 2002.
17. A. Vinciarelli, S. Bengio, and H. Bunke. Offline recognition of unconstrained handwritten texts using hmms and statistical language models. IEEE Trans. Pattern Anal. Mach. Intelligence, 26(6):709-720, 2004.
18. Y. Xu and G.Nagy. Prototype extraction and adaptive ocr. IEEE Trans. PAMI, 21(12):1280-1296, December 1999.