An integration of online and pseudo-online information for cursive word recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 27, Issue 5, 2005, Pages 669-683

  Steinherz, Tal ^a   Rivlin, Ehud ^b   Intrator, Nathan ^a   Neskovic, Predrag ^c  

^a TEL AVIV UNIVERSITY   (Israel)

^b Department of Computer Science ^*  (Israel)

^c BROWN UNIVERSITY   (United States)

Author keywords

Classifier combination; Cursive; Handwriting; Offline; Online; Word recognition

Indexed keywords

ALGORITHMS; MATHEMATICAL TRANSFORMATIONS; MATRIX ALGEBRA; VECTORS; WORD PROCESSING;

BREADTH FIRST SEARCH ALGORITHMS; CLASSIFIER COMBINATION; HANDWRITING; ONLINE DATA; WORD RECOGNITION;

PATTERN RECOGNITION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER GRAPHICS; COMPUTER INTERFACE; DOCUMENTATION; EVALUATION; HANDWRITING; IMAGE SUBTRACTION; INFORMATION PROCESSING; INFORMATION RETRIEVAL; MATHEMATICAL COMPUTING; METHODOLOGY; ONLINE SYSTEM; READING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; VALIDATION STUDY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; AUTOMATIC DATA PROCESSING; COMPUTER GRAPHICS; DOCUMENTATION; HANDWRITING; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; ONLINE SYSTEMS; PATTERN RECOGNITION, AUTOMATED; READING; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE; USER-COMPUTER INTERFACE;

EID: 18144403854     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2005.94     Document Type: Article

References (30)

1. T. Wakahara, H. Murase, and K. Odaka, "On-Line Handwriting Recognition," Proc. IEEE, vol. 80, no. 7, pp. 1181-1194, 1992.
2. C.C. Tappert, C.Y. Suen, and T. Wakahara, "The State-of-the-Art in On-Line Handwriting Recognition - A Survey," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 12, no. 8, pp. 787-808, Aug. 1990.
3. G. Seni, R.K. Srihari, and N. Nasrabadi, "Large Vocabulary Recognition of On-Line Handwritten Cursive Words," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 18, no. 7, pp. 757-762, 1996.
4. R. Plamondon and S.N. Srihari, "On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 22, no. 1, pp. 63-84, Jan. 2000.
5. R. Seiler, M. Schenkel, and F. Eggimann, "Off-Line Cursive Handwriting Recognition Compared with On-Line Recognition," Proc. Int'l Conf. Pattern Recognition, pp. 505-509, 1996.
6. A. Vinciarelli, "A Survey on Off-Line Cursive Word Recognition," Pattern Recognition, vol. 35, no. 7, pp. 1433-1446, 2002.
7. T. Steinherz, E. Rivlin, and N. Intrator, "Off-Line Cursive Script Word Recognition - A Survey," Int'l J. Document Analysis and Recognition, vol. 2, nos. 2-3, pp. 90-110, 1999.
8. S.N. Srihari, "High Performance Reading Machines," Proc. IEEE, vol. 80, no. 7, pp. 1120-1132, 1992.
9. H. Nishida, "An Approach to Integration of Off-Line and On-Line Recognition of Handwriting," Pattern Recognition Letters, vol. 16, no. 11, pp. 1213-1219, 1995.
10. S. Jaeger, "On the Complexity of Cognition," Proc. Int'l Workshop Frontiers in Handwriting Recognition, pp. 291-302, 2000.
11. M. Hamanaka, K. Yamada, and J. Tsukumo, "On-Line Japanese Character Recognition Experiments by an Off-Line Method Based on Normalization-Cooperated Feature Extraction," Proc. Int'l Conf. Document Analysis and Recognition, pp. 204-207, 1993.
12. M. Okamoto, A. Nakamura, and K. Yamamoto, "Direction Change Features of Imaginary Strokes for On-Line Handwriting Character Recognition," Proc. Int'l Conf. Pattern Recognition, pp. 1747-1751, 1998.
13. S. Jaeger, S. Manke, J. Reichert, and A. Waibel, "On-Line Handwriting Recognition: The Npen++ Recognizer," Int'l J. Document Analysis and Recognition, vol. 3, no. 3, pp. 169-180, 2001.
14. S. Manke, M. Finke, and A Waibel, "Combining Bitmaps with Dynamic Writing Information for On-Line Handwriting Recognition," Proc. Int'l Conf. Pattern Recognition, pp. 596-598, 1994.
15. H. Kang, K. Kim, and J. Kim, "A Framework for Probabilistic Combination of Multiple Classifiers at an Abstract Level," Eng. Applications of Artificial Intelligence, vol. 10, no. 4, pp. 379-385, 1997.
16. J. Kittler, M. Hatef, R. Duin, and J. Matas, "On Combining Classifiers," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no. 3, pp. 222-239, Mar. 1998.
17. H. Tanaka, K. Nakajima, K. Ishigaki, K. Akiyama, and M. Nakagawa, "Hybrid Pen-Input Character Recognition System Based on Integration of On-Line-Off-Line Recognition," Proc. Int'l Conf. Document Analysis and Recognition, pp. 209-212, 1999.
18. O. Velek, S. Jaeger, and M. Nakagawa, "A New Warping Technique for Normalizing Likelihood of Multiple Classifiers and its Effectiveness in Combined On-Line/Off-Line Japanese Character Recognition," Proc. Int'l Workshop Frontiers in Handwriting Recognition, pp. 177-182, 2002.
19. D.S. Doermann and A. Rosenfeld, "Recovery of Temporal Information from Static Images of Handwriting," Int'l J. Computer Vision, vol. 15, nos. 1-2, pp. 143-164, 1995.
20. G. Boccignone, A. Chianese, L.P. Cordella, and A. Marcelli, "Recovering Dynamic Information from Static Handwriting. Pattern Recognition," vol. 26, no. 3, pp. 409-418, 1993.
21. J.C. Simon, "Off-Line Cursive Word Recognition," Proc. IEEE, vol. 80, no. 7, pp. 1150-1161, 1992.
22. J.C. Simon and O. Baret, "Regularities and Singularities in Line Pictures," Int'l J. Pattern Recognition and Artificial Intelligence, vol. 5, no. 1-2, pp. 57-77, 1991.
23. T. Steinherz, N. Intrator, and E. Rivlin, "A Special Skeletonization Algorithm for Cursive Words," Proc. Int'l Workshop Frontiers in Handwriting Recognition, pp. 529-534, 2000.
24. P. Neskovic and L. Cooper, "Neural Network-Based Context Driven Recognition of On-Line Cursive Script," Proc. Int'l Workshop Frontiers in Handwriting Recognition, pp. 352-362, 2000.
25. P. Neskovic, P. Davis, and L. Cooper, "Interactive Parts Model: An Application to Recognition of On-Line Cursive Script," Proc. Advances in Neural Information Processing Systems, pp. 974-980, 2000.
26. M. Schenkel, I. Guyon, and D. Henderson, "On-Line Cursive Script Recognition Using Time Delay Neural Networks and Hidden Markov Models," Machine Vision and Applications, vol. 8, no. 4, pp. 215-223, 1995.
27. O. Matan, C.J.C. Burges, Y.L. Cun, and J.S. Denker, "Multi-Digit Recognition Using a Space Displacement Neural Network," Proc. Advances in Neural Information Processing Systems, pp. 488-495, 1992.
28. J. Hollerbach, "An Oscillation Theory of Handwriting, Biological Cybernetics, vol. 39, pp. 139-156, 1981.
29. D.E. Rumelhart, "Theory to Practice: A Case Study - Recognizing Cursive Handwriting," Computational Learning and Cognition: Proc. Third NEC Research Symp., pp. 177-196, 1993.
30. I. Guyon, L. Schomaker, R. Plamondon, M. Liberman, and S. Janet, "Unipen Project of On-Line Data Exchange and Recognizer Benchmarks," Proc. Int'l Conf. Pattern Recognition, pp. 29-33, 1994.