Adapting BLSTM neural network based keyword spotting trained on modern data to historical documents

Proceedings - 12th International Conference on Frontiers in Handwriting Recognition, ICFHR 2010

Volumn , Issue , 2010, Pages 352-357

  Frinken, Volkmar ^a   Fischer, Andreas ^a   Bunke, Horst ^a   Manmatha, R ^b  

^a UNIVERSITY OF BERN   (Switzerland)

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

Author keywords

Adaptation; Handwriting recognition; Historical data; Keyword spotting; Neural networks

Indexed keywords

ADAPTATION; CULTURAL HERITAGES; HANDWRITING RECOGNITION; HANDWRITTEN DOCUMENT; HISTORIC DATA; HISTORICAL DATA; HISTORICAL DOCUMENTS; KEYWORD SPOTTING; KEYWORD SPOTTING SYSTEMS; PROCESSING SYSTEMS; TEXTUAL INFORMATION; TRAINING SETS; WRITING STYLE; WRITTEN TEXTS;

FEEDFORWARD NEURAL NETWORKS; HISTORIC PRESERVATION; SPEECH RECOGNITION;

CHARACTER RECOGNITION;

EID: 79951693466     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICFHR.2010.61     Document Type: Conference Paper

References (22)

1. A. Vinciarelli, "A Survey On Off-Line Cursive Word Recognition," Pattern Recognition, vol. 35, no. 7, pp. 1433-1446, 2002.
2. R. Plamondon and S. N. Srihari, "On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey," IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 22, no. 1, pp. 63-84, 2000.
3. A. Antonacopoulos and A. C. Downton, "Special issue on the analysis of historical documents," IJDAR, vol. 9, no. 2-4, pp. 75-77, 2007.
4. A. Kołcz, J. Alspector, M. F. Augusteijn, R. Carlson, and G. V. Popescu, "A Line-Oriented Approach to Word Spotting in Handwritten Documents," Pattern Analysis and Applications, vol. 3, pp. 153-168, 2000.
5. R. Manmatha and T. M. Rath, "Indexing of Handwritten Historical Documents - Recent Progress," in Symposium on Document Image Understanding Technology, 2003, pp. 77-85.
6. T. M. Rath and R. Manmatha, "Word Image Matching Using Dynamic Time Warping," in Computer Vision and Pattern Recognition, vol. 2, 2003, pp. 521-527.
7. E. Ataer and P. Duygulu, "Matching Ottoman Words: An Image Retrieval Approach to Historical Document Indexing," in 6th Int'l Conf. on Image and Video Retrieval, 2007, pp. 341-347.
8. Y. Leydier, F. Lebourgeois, and H. Emptoz, "Text Search for Medieval Manuscript Images," Pattern Recognition, vol. 40, pp. 3552-3567, 2007.
9. H. Cao and V. Govindaraju, "Template-free Word Spotting in Low-Quality Manuscripts," in 6th Int'l Conf. on Advances in Pattern Recognition, 2007.
10. J. Edwards, Y. Whye, T. David, F. Roger, B. M. Maire, and G. Vesom, "Making Latin Manuscripts Searchable using gHMM's," in Advances in Neural Information Processing Systems (NIPS) 17. MIT Press, 2004, pp. 385-392.
11. H. Jiang and X. Li, "Incorporating training errors for large margin hmms under semi-definite programming framework," Int'l Conf. on Acoustics, Speech and Signal Processing, vol. 4, pp. 629-632, April 2007.
12. F. Perronnin and J. Rodriguez-Serrano, "Fisher Kernels for Handwritten Word-spotting," in 10th Int'l Conf. on Document Analysis and Recognition, vol. 1, 2009, pp. 106-110.
13. V. Frinken, A. Fischer, and H. Bunke, "A Novel Word Spotting Algorithm Using Bidirectional Long Short-Term Memory Neural Networks," in 4th Workshop on Artificial Neural Networks in Pattern Recognition, 2010.
14. V. Romero, A. H. Toselli, L. Rodrguez, and E. Vidal, "Computer assisted transcription for ancient text images," in Proc. of 4th Int'l Conf. on Image Analysis and Recognition, ser. LNCS, vol. 4633, 2007, pp. 1182-1193.
15. A. Fischer, A. Keller, V. Frinken, and H. Bunke, "HMM-Based Word Spotting in Handwritten Documents Using Subword Models," in 20th Int'l Conf. on Pattern Recognition, accepted for publication, 2010.
16. J. Rodríguez-Serrano, F. Perronnin, J. Lladós, and G. Sánchez, "A Similarity Measure Between Vector Sequences with Application to Handwritten Word Image Retrival," in IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2009, pp. 1722-1729.
17. U.-V. Marti and H. Bunke, "The IAM-Database: An English Sentence Database for Offline Handwriting Recognition," Int'l Journal on Document Analysis and Recognition, vol. 5, pp. 39-46, 2002.
18. T. M. Rath and R. Manmatha, "Word spotting for historical documents," Int'l Journal of Document Analysis and Recognition, vol. 9, pp. 139-152, 2007.
19. 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 Artificial Intelligence, vol. 15, pp. 65-90, 2001.
20. A.Graves, M. Liwicki, S. Fernández, R. Bertolami, H. Bunke, and J. Schmidhuber, "A Novel Connectionist System for Unconstrained Handwriting Recognition," IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 31, no. 5, pp. 855-868, 2009.
21. A. Graves, S. Fernández, F. Gomez, and J. Schmidhuber, "Connectionist Temporal Classification: Labelling Unsegmented Sequential Data with Recurrent Neural Networks," in 23rd Int'l Conf. on Machine Learning, 2006, pp. 369-376.
22. G. Salton, The SMART Retrieval System - Experiments in Automatic Document Processing. Upper Saddle River, NJ, USA: Prentice-Hall, Inc., 1971.