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Professor
Toru WAKAHARA

Toru WAKAHARA was born in Gifu, Japan, on January 30, 1952. He received the B.E. and M.E. degrees in applied physics and the Ph.D. degree in mathematical engineering and information physics from the University of Tokyo, Tokyo, Japan, in 1975, 1977, and 1986, respectively. From 1977 to 1986, he was with the Basic Research Laboratories, Nippon Telegraph and Telephone Corporation (NTT), Tokyo, Japan, where he was engaged in research of on-line handwriting recognition. From 1987 to 2000, he was with the Human Interface Laboratories, Cyber Space Laboratories, and Cyber Solutions Laboratories, NTT, Kanagawa, Japan, where he was engaged in research and development of machine-printed multi-font character recognition system, advanced handwritten character recognition system, pen-based interface, and biometric person authentication system. From 1991 to 1993, he was posted to the Institute for Posts and Telecommunications Policy (IPTP), Ministry of Posts and Telecommunications, Japan, where he conducted the first, second, and third IPTP character recognition competitions and studies on multi-expert system for handwritten 3-digit postcode and postal address recognition. Since April 2001, he has been a professor of the Faculty of Computer and Information Sciences, Hosei University.
His research interests include learning and generalization in pattern recognition, intelligent image processing, human visual perception, and human-machine interaction.
He is a member of the IEEE Computer Society and the Institute of Electronics, Information and Communication Engineers of Japan (IEICE).
He received a Special Achievement Award in 1994 from the Institute for Posts and Telecommunications Policy (IPTP), Ministry of Posts and Telecommunications, Japan.

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Message
Having a lively intellectual curiosity in your study and research is most essential to taking a genuine delight in your academic life. In order to activate such curiosity, you have to think over what is an important problem worthy to be focused your energy on. In other words, finding a good problem is most valuable, and its solution is another thing.

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Publications (January 1996 - December 2000)
  1. Y. Kimura, T. Wakahara, and A. Tomono, "Combination of Statistical and Neural Classifiers for a High-Accuracy Recognition of Large Character Sets", The Transactions of the IEICE, Vol. J83-D-II, No. 10, pp. 1986-1994, October 2000 (in Japanese).
  2. Y. Kimura, T. Wakahara, and M. Sano, "The Proposal of Growing Neural Networks and Its Application to Handwritten Kanji Character Recognition," The Journal of the IIEEJ, Vol. 29, No. 5, pp. 600-609, September 2000.
  3. T. Wakahara and Y. Kimura, "Affine-Invariant Gray-Scale Character Recognition Using GAT Correlation," Proc. of 15th International Conference on Pattern Recognition (ICPR2000), Vol. 4, pp. 417-421, Barcelona, September 2000.
  4. Y. Kimura, T. Akiyama, M. Mori, N. Miyamoto, T. Wakahara, and K. Ogura, "Hybrid Recognition Method for Handwritten Kanji/Non-Kanji Characters Using Extended Peripheral Direction Contributivity Features and Contour Features," The Transactions of the IEICE, Vol. J82-D-II, No. 12, pp. 2271-2279, December 1999 (in Japanese).
  5. T. Wakahara and Y. Kimura, "Toward Robust Handwritten Kanji Character Recognition," Pattern Recognition Letters, Vol. 20, No. 10, pp. 979-990, November 1999.
  6. T. Wakahara and Y. Kimura, "Affine-Invariant Correlation of Gray-Scale Characters Using GAT Iteration," Proc. of 5th International Conference on Document Analysis and Recognition (ICDAR'99), pp. 613-616, Bangalore, September 1999.
  7. T. Wakahara and K. Odaka, "Adaptive Normalization of Handwritten Characters Using Global/Local Affine Transformation," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, No. 12, pp. 1332-1341, December 1998.
  8. T. Wakahara and K. Ogura, "Extended Mean Shift in Handwriting Clustering," Proc. of 14th International Conference on Pattern Recognition (ICPR'98), Vol. 1, pp. 384-388, Brisbane, August 1998.
  9. M. Mori, T. Wakahara, and K. Ogura, "Structural and Global Shape Description in Handwritten Kanji Character Recognition," Electronic Imaging, SPIE/IS&T International Technical Working Group Newsletter, Vol. 8, No. 2, pp. 8-9, June 1998.
  10. M. Mori, T. Wakahara, and K. Ogura, "Measures for Structural and Global Shape Description in Handwritten Kanji Character Recognition," Proc. of IS&T/SPIE's 10th Annual Symposium, Electronic Imaging '98, No. 3305, San Jose, January 1998.
  11. T. Wakahara and K. Odaka, "On-Line Cursive Kanji Character Recognition Using Stroke-Based Affine Transformation," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 19, No. 12, pp. 1381-1385, December 1997.
  12. T. Wakahara, "Toward Robust Handwritten Kanji Character Recognition," Proc. of International Workshop on Human Interface Technology '97 (IWHIT'97), pp. 25-34, Aizu-Wakamatsu, November 1997.
  13. T. Wakahara and K. Odaka, "Adaptive Normalization of Handwritten Characters Using Global/Local Affine Transformation," Proc. of 4th International Conference on Document Analysis and Recognition (ICDAR'97), Vol. 1, pp. 28-33, Ulm, August 1997.
  14. Y. Kimura, T. Wakahara, and K. Odaka, "Combining Statistical Pattern Recognition Approach with Neural Networks for Recognition of Large-Set Categories," Proc. International Conference on Neural Networks (ICNN'97), Vol. 3, pp. 1429-1432, Houston, June 1997.
  15. H. Aizawa, T. Wakahara, and K. Odaka, "Real-Time Handwritten Character String Segmentation Using Multiple Stroke Features," The Transactions of the IEICE, Vol. J80-D-II, No. 5, pp. 1178-1185, May 1997 (in Japanese).
  16. N. Nakajima, S. Miyahara, T. Wakahara, and K. Odaka, "Development of Handwritten Character Input Interface for Multimedia Terminal and Its Applications," Systems and Computers in Japan, Vol. 28, No. 3, pp. 82-90, March 1997.
  17. T. Wakahara, "History of My Researches on Character Recognition," The Journal of the ITE, Vol. 51, No. 2, pp. 183-186, February 1997.
  18. T. Tsutsumida, F. Kawamata, S. Yamaguchi, K. Nagata, and T. Wakahara, "The Third IPTP Character Recognition Competition and Study on Multi-Expert System for Handwritten Kanji Recognition," Proc. of 5th International Workshop in Frontiers on Handwriting Recognition (IWFHR'96), pp. 479-482, Colchester, September 1996.
  19. T. Wakahara, N. Nakajima, S. Miyahara, and K. Odaka, "On-Line Cursive Kanji Character Recognition Using Stroke-Based Affine Transformation," Proc. of 13th International Conference on Pattern Recognition (ICPR'96), Vol. 3, pp. 204-209, Vienna, August 1996.
  20. T. Wakahara, A. Suzuki, N. Nakajima, S. Miyahara, and K. Odaka, "Stroke-Number and Stroke-Order Free On-Line Kanji Character Recognition as One-to-One Stroke Correspondence Problem," IEICE Transactions on Information and Systems, Vol. E79-D, No. 5, pp. 529-534, May 1996.
  21. T. Tsutsumida, T. Matsui, T. Noumi, and T. Wakahara, "Results of IPTP Character Recognition Competitions and Studies on Multi-Expert System for Handprinted Numeral Recognition," IEICE Transactions on Information and Systems, Vol. E79-D, No. 5, pp. 429-435, May 1996.
  22. N. Nakajima, S. Miyahara, T. Wakahara, and K. Odaka, "Development of Handwriting Character Input Interface for Multimedia Terminal and Its Applications," The Transactions of the IEICE, Vol. J79-D-II, No. 4, pp. 592-599, April 1996 (in Japanese).

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