Neural nets for on-line isolated handwritten character recognition: A comparative study

IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006

Volumn , Issue , 2006, Pages

  Zafar, Muhammad Faisal ^a   Mohamad, Dzulkifli ^a   Othman, Razib ^a  

^a UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

Author keywords

Back propagation neural network; Character digitization; Counter propagation neural networks; Extreme coordinates; On line character recognition

Indexed keywords

COUNTER PROPAGATION NEURAL NETWORK (CPN); HANDHELD DEVICES; HANDWRITING PROCESSING; ONLINE HANDWRITING RECOGNITION;

BACKPROPAGATION; HAND HELD COMPUTERS; NEURAL NETWORKS; ONLINE SYSTEMS; PERSONAL COMPUTING;

CHARACTER RECOGNITION;

EID: 40849136372     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (31)

1. Morita M., Sabourin R., Bortolozzi F., Suen C. Y. (2003). A Recognition and Verification Strategy for Handwritten Word Recognition. ICDAR'03), Edinburgh, Scotland, August 3-6: 482-486.
2. Tappert C.C., Suen C. Y., Wakahara T.(1990). The state of the art in on-line handwriting recognition. IEEE Trans. on Pattern Analysis and Machine Intelligence, 12(8), 787-808.
3. Anoop M. Namboodiri, Anil K. Jain. (2004). Online Handwritten Script Recognition. IEEE Trans. PAMI. 26(1): 124-130.
4. Cheng-Lin Liu, Stefan Jaeger, and Masaki Nakagawa (2004). Online Recognition of Chinese Characters: The State-of-the-Art. IEEE Trans. on Pattern Analysis and Machine Intelligence, 26(2), 198-203.
5. Steinherz T., Rivlin E., and Intrator N. (1999). Offline Cursive Script Word Recognition - A Survey. Int'l J. Document Analysis and Recognition, vol. 2, 90-110.
6. Evan Koblentz (May 2005). The Evolution Of The PDA: 1975-1995. Computer Collector Newsletter, version 0.993.
7. Pen Computing Magazine: PenWindows, (2005). http://www.pencomputing.com/ PenWindows/index.html.
8. Scott D. Connell. (2000).Online Handwriting Recognition Using Multiple Pattern Class Models. PhD Thesis, Dept. of Computer Science and Engineering, Michigan State University USA.
9. Smart Technologies Inc. Homepage, (2005). http://www.smarttech.com/
10. IBM ThinkPad TransNote, (2005). http://www-132.ibm.com/content/search/ transnote.html
11. Windows XP Tablet PC Edition Homepage, (2005). http://www.microsoft.com/ windowsxp/tabletpc/default.asp
12. Robert Kazimierz Powalka, "An algorithm toolbox for on-line cursive script recognition", PhD thesis The Nottingham Trent University May 1995.
13. rd International Conference July 29 -August 3, 2001 Vancouver, British Columbia, Canada.
14. Mantas, J. (1986), An Overview of Character Recognition Methodologies, Pattern Recognition, 19 (1986) 425-430.
15. Suen, C. Y., Berthod, M., and Mori, S. (1980), Automatic Recognition of Hand printed Character-the State of the Art, Proceedings of IEEE. 68 (1980) 469-487.
16. Govindan, V. K., and Shivaprasad, A. P. (1990), Character Recognition-a Review, Pattern Recognition, 23: 671-683.
17. Alessandro Vinciarelli (2002). A survey on off-line Cursive Word Recognition. Pattern Recognition, 35: 1433.
18. Koerich A. L., Sabourin R., Suen C. Y. (2003). Large vocabulary off-line handwriting recognition: A survey. Pattern Anal Applic, 6:97-121.
19. Bortolozzi, F., Britto Jr,. A., Oliveira, L. S. and Morita, M., (2005). Recent Advances in Handwriting Recognition. In Umapada Pal et al editors, Document Analysis, 1-31.
20. Nouboud, F., and Plamondon,(1990). On-Line Recognition of Handprinted Characters: Survey and Beta Tests, Pattern Recognition, 23: 1031-1044.
21. Plamondon Rejean, and SargurN. Srihari, (2000). On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey. IEEE Transactions on PAMI. 22(1): 63-84.
22. Jain K, Duin R. P. W., Mao J. (2000). Statistical pattern recognition: A review. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(1):4-37.
23. Gader P. D., Forester B., Ganzberger M., A. Billies, B. Mitchell, M. Whalen, T. Youcum (1991). Recognition of handwritten digits using template and model matching. Pattern Recognition, 5(24):421-431.
24. Dimauro G., Impedovo S., Pirlo G., Salzo A. (1997). Automatic bankcheck processing: A new engineered system. In S. Impedovo et al, editor, International Journal of Pattern Recognition and Artificial Intelligence, World Scientific, pp. 467-503.
25. Xie S. L., and Suk M. (1988). On machine recognition of handprinted Chinese character by feature relaxation. Pattern Recognition, 21 (1): 1-7.
26. Hiroto Mitoma, Seiichi Uchida, and Hiroaki Sakoe. (2005). Online character recognition based on elastic matching and quadratic discrimination. Proceedings of 8th International Conference on Document Analysis and Recognition (ICDAR 2005, Seoul, Korea).1(2):36-40.
27. th International Workshop on Frontiers in Handwriting Recognition, Amsterdam, Netherlands, 423-432.
28. Shridhar M. and Badreldin A. (1986). Recognition of isolated and simply connected handwritten numerals. Pattern Recognition, 19(1):1-12.
29. Kim H. Y. and Kim J. h. (1998). Handwritten Korean character recognition based on hierarchical randon graph modeling. In Proc. 6th International Workshop on Frontiers of Handwriting Recognition, Taegon-Korea, August, pp. 557-586.
30. Freeman, J. A., and Skapura, D. M., (1991). Neural Networks: Algorithms, Applications and Programming Techniques, Addison-Wesley Publishing Company.
31. Dzulkifli Mohamad, and Zafar, M. F., (2004). Comparative Study Of Two Novel Feature Vectors For Complex Image Matching Using Counterpropagation Neural Network. Journal of Information Technology, FSKSM, Universiti Teknologi Malaysia, 16(1).