參考文獻 |
[1] K. Sakai, S. Hirai and T. Kawada, “An optical Chinese character reader,” Proc. ICPR 00, pp. 122-126, 1976.
[2] J. K. Lin, B. S. Jeng, et al., “Recognition of Printed Chinese Characters Utilizing Two-stage Classification With Mesh and Peripheral Features,” Proceedings of Telecommunications Symposium, 7B-1, 1987, pp. 533-537.
[3] Y. L. Wu, T. M. Wu and B. S. Jeng, “Optical Chinese character recognition using a projection profile and the Fourier transformation,” TL Technique J., Vol. 20, pp. 137-145, 1990.
[4] Y. Xia, Z. Wu and C. Sun, “A new classification method on optical recognition of restricted handwritten Chinese characters,” Communications COLIPS, Vol. 11, pp. 44-50, 1991.
[5] L. T. Tu, Y. S. Lin, C. P. Yeh, I. S. Shyu, J. L. Wang, K. H. Joe, and W. W. Lin, “Recognition of handwritten Chinese characters by feature matching,” Proceedings of 1991 International Conference on Computer Processing of Chinese and Oriental Languages, pp. 154-157, 1991.
[6] H. Lu and P. Yang, “A preclassification method for Chinese character recognition based on peripheral stroke structure,” Communications COLIPS, Vol. 12, pp. 73-79, 1992.
[7] H, D. Chang and J. F. Wang, “Preclassification for handwritten Chinese character recognition by a peripheral shape coding method,” Pattern Recognition, Vol. 26, pp. 711-719, 1993.
[8] Y. H. Tseng, C. C. Kuo and H. J. Lee, “Speeding up Chinese character recognition in an automatic document reading system,” Pattern Recognition, Vol. 31, pp. 1601-1612, 1998.
[9] R. I. Oka, “Handwritten Chinese-Japanese characters recognition by using cellular feature,” Proc. 6th Int. Joint Conf. on Pattern Recognition, pp. 783-785, 1982.
[10] T. F. Li and S. S. Yu, “Handprinted Chinese character recognition using the probability distribution feature,” Int. J. Pattern Recogn. Artif. Intell., Vol. 8, No. 5, pp. 1241-1258, 1994.
[11] D. Deng, K.P. Chan and Y. Yu, “Handwritten Chinese character recognition using spatial Gabor filters and self-organizing feature maps,” Proceedings of ICIP’94, pp. 940-944, 1994.
[12] C. H. Tung and H. J. Lee, “Increasing character recognition accuracy by detection and correction of erroneously identified characters,” Pattern Recognition, Vol. 27, No. 9, pp. 1259-1266, 1994.
[13] C. H. Tung, H. J. Lee and J. Y. Tsai, “Multistage pre-candidate selection in handwritten Chinese character recognition system,” Pattern Recognition, Vol. 27, pp. 1093-1102, 1994.
[14] Y. Kimura, “Distorted handwritten Kanji character pattern recognition by a learning algorithm minimizing output variation,” Proc. of IJCNN’91, pp. I-103-106, 1991.
[15] T. Shioyama and J. Hamanaka, “Recognition algorithm for handprinted Chinese characters by 2D-FFT,” Proceedings of International Conference on Pattern Recognition‘96, pp. 225-229, 1996.
[16] L. Y. Tseng and T. H. Huang, “Recognition of hand-printed Chinese characters based on backpropagation neural network,” Proceedings of 1991 International Conference on Computer Processing of Chinese and Oriental Language, pp. 86-91, 1991.
[17] H. D. Chang, J. F. Wang and S. C. Kuo, “A Bayesian neural network for separating similar complex handwritten Chinese characters,” Pattern Recognition Letters, Vol. 15, pp. 403-408, 1994.
[18] Y. S. Huang, “An optimized prototype construction algorithm for character recognition,” WITA’96.
[19] R. D. Romero, D. S. Touretzky, and R. H. Thibadeau, “Optical Chinese Character Recognition Using Probabilistic Neural Networks,” Pattern Recognition, Vol.30, 1279-1292, 1997.
[20] Tao Li, Yuan y. Tang and L. Y. Fang, “A Structure-Parameter-Adaptive (SPA) neural tree for the recognition of large character set,” Pattern Recognition, Vol. 28, No. 3, pp. 315-329, 1995.
[21] D. C. Tseng, H. P. Chiu and J. H. Cheng, “Invariant handwritten Chinese character recognition using fuzzy ring data,” Image and Vision Computing, Vol. 14, pp. 647-657, 1996.
[22] H. P. Chiu and D. C. Tseng, “Invariant handwritten Chinese character recognition using fuzzy min-max neural networks,” Pattern Recognition Letters, Vol. 18, pp.481-491, 1997.
[23] A. Sato and K. Yamada, “Generalized learning vector quantization,” Advances in Neural Information Processing 8, Proceedings of the 1995 Conference, pp. 423-429, MIT Press, Cambridge, MA, USA, 1996.
[24] M. K. Tsay and K. H. Shyu, “Feature transformation with Generalized Learning Vector Quantization for hand-written Chinese character,” IEICE Trans. INF. & SYST., Vol.E82-D, No. 3, 1999.
[25] H. Ogawa and K. Taniguchi, “Thinning and stroke segmentation for handwritten Chinese character recognition,” Pattern Recognition, Vol. 15, No. 4, pp.299-308, 1982.
[26] T. Y. Zhang, C. Y. Suen, “A fast parallel algorithm for thinning digital patterns,” Comm. ACM, Vol.27, pp.236-239, 1984.
[27] Y. K. Chu, C.Y. Suen, “An alternative smoothing and stripping algorithm for thinning digital binary patterns,” Signal Processing, No. 11, pp.207-222, 1986.
[28] W. Wu, C. Wang, “A fast thinning algorithm implemented on a sequential computer,” IEEE Trans. Syst. Man Cybern. Vol.17, No.5, pp.847-851, 1987.
[29] Y, S Chen, W. H. Hsu, “A modified fast parallel algorithm for thinning digital pattern,” Pattern Recognition Letters, No. 7, pp.99-106, 1988.
[30] P.S.P. Wang, Y. Y. Zhang, “A fast and flexible thinning algorithm,” IEEE Trans. Comput., Vol.38, pp.741-745, 1989.
[31] B. Li, C. Y. Suen,“A knowedge-based thinning algorithm,” Pattern Recognition, Vol. 24, NO. 12, pp.1211-1221, 1991.
[32] L. Lam, S. W. Lee and C. Y. Suen, “Thinning methodologies-a comprehensive survey,” IEEE Trans. PMAI, Vol. 14, No. 9, pp.869-885, 1992.
[33] G. Hu, Z. Li, “An X-crossing preserving skeletonization algorithm,” Thinning Methodologies for Pattern Recognition, Eds. Suen, C.Y. and Wang, P.S.P., World Scientific Publishing, 1994.
[34] Y. Y. Zhang and P.S.P. Wang, “A new parallel thinning methodology,” Int. Journal of pattern recognition and Artificial Intelligence Vol. 8 No. 5, 999-1011, 1994.
[35] F. Y. Shih and W. T. Wong, “Fully parallel thinning with tolerance to boundary noise,” Pattern Recognition, pp. 1677-1695, 1994.
[36] J. Y. Lin and Z. Chen, “A Chinese-character thinning algorithm base on global feature and contour information,” Pattern Recognition 28, 493-512, 1995.
[37] H. P. Chiu, D. C. Tseng, “A feature-preserved thinning algorithm for handwritten Chinese characters,” Signal Processing, Vol.58, pp.203-214, 1997.
[38] C. Lee, B. Wu, “A Chinese-character-stroke-extraction algorithm based on countour information,” Pattern Recognition, Vol.31, No.6, pp.651-663, 1998.
[39] K. C. Fan, D. Chen and M. G. Wen, “Skeletonization of binary image with nonuniform width via block decomposition and countor vector matching,” Pattern Recognition, Vol. 31, No. 7, pp. 823-838, 1998.
[40] D. X. Zhong, H. Yan, “Pattern skeletonization using run-length-wise processing for intersection distortion problem,” Pattern Recognition Letters, Vol.20, pp.833-846, 1999.
[41] F. Y. Shih and C. C. Pu, A Skeletonization algorithm by maxima tracking on Euclidean distance transform, Pattern Recognition 28, 331-341(1995).
[42] C. W. Liao and J. S. Huang, “Stroke segmentation by Bernstein-Bezier curve fitting,” Pattern Recognition, Vol. 23, No. 5, pp. 475-484, 1990.
[43] W. H. Hsu, F. H. Cheng, “Recognition of Chinese characters by structure analysis of strokes,” Computer Processing of Chinese and Oriental Languages, Vol. 2, No. 2, pp. 101-112, 1985.
[44] H. M. Lee and C. W. Huang, “Fuzzy feature extraction on handwritten Chinese characters,” Proceedings of the Third IEEE Conference on Fuzzy System, pp. 1809-1814, 1994.
[45] H. D. Chang and J. F. Wang, “A robust stroke extraction method for handwritten Chinese characters,” Int. J. Pattern Recognition and Art. Intell., Vol. 8, No. 5, pp. 1223-1239, 1994.
[46] J. R. Lin and C. F. Chen, “Stroke extraction for Chinese character using a trend-followed transcribing technique,” Pattern Recognition 29, 1789-1805, 1996.
[47] L. Y. Tseng and C. T. Chung, “An efficient knowledge-base stroke extraction method for multi-font Chinese Character,” Pattern Recognition 25, 1445-1458, 1992.
[48] Y. S. Chen, “Segmentation and association among lines and junctions for a line image,” Pattern Recognition 27, 1135-1157, 1994.
[49] N. Babaguchi, T. Aibra, H. Sanada and Y. Tezuka, “Identification and extraction of radical from handprinted Kanji character by segment correspondence method,” Trans. IECE Japan, pp. 83-59, 1983.
[50] N. Tanaka, H. Aota, M. Shiono, H. Sanada, and Y. Tezuka, “A method of subpattern extraction from handprinted Kanji characters,” Trans. IECE Japan, pp. 83-26, 1983.
[51] R. H. Cheng, C. W. Lee and Z. Chen, “Preclassification of handwritten Chinese characters based on basic stroke substructures,” Pattern Recognition Letters, vol. 16, pp. 1023-1032, 1995.
[52] T. Z. Lin and K. C. Fan, “Coarse classification of on-line Chinese Characters via structure feature-based method,” Pattern Recognition, Vol. 27, pp. 1365-1377, 1994.
[53] C. C. Han, Y. L. Tseng, K. C. Fan and A. B. Wang, “Coarse classification of Chinese characters via stroke clustering method,” Pattern Recognition Letters, Vol. 16, pp. 1079-1089, 1995.
[54] A. B. Wang, K. C. Fan and W. H. Wu, “Recursive hierarchical radical extraction for handwritten Chinese characters,” Pattern Recognition, vol 30, pp. 1213-1227, 1997.
[55] A. B. Wang, Kuo-Chin Fan and J. S. Huang, “Recognition of handwritten Chinese Character by modified relaxation methods,” Image and Vision Computing Vol. 12 no. 8, 509-522, 1994.
[56] K. Yamamoto and A. Rosenfeld, “Recognition of handprinted KANJI characters by a relaxation method,” Proc. 6th Int. Joint Conf. on Pattern Recognition, pp. 395-398, 1982.
[57] L. H. Chen and J. R. Lieh, “Handwritten character recognition using a 2-layer random graph model by relaxation matching,” Pattern Recognition, Vol. 23, No. 11, pp. 1189-1205, 1990.
[58] F. H. Cheng, W. H. Hsu and M. C. Kuo, “Recognition of Handprinted Chinese Characters Via Stroke Relaxation,” Pattern Recognition, Vol. 26, 579-593, 1993.
[59] F. H. Cheng, “Multi-stroke relaxation matching method for handwritten Chinese character recognition,” Pattern Recognition, Vol. 31, No. 4, pp. 401-410, 1998.
[60] K. P. Chan and Y. S. Cheung, “Fuzzy-attribute graph with application to Chinese character recognition,” IEEE Trans. On System, Man, and Cybernetics, Vol. 22, No. 1, pp. 153-160, 1992.
[61] A. B. Wang, K. C. Fan and W. H. Wu, “A recursive hierarchical scheme for radical extraction of handwritten Chinese characters,” SSPR International Workshop on Structural and Syntactic Pattern Recognition, Rep. Of China, 1996.
[62] R. H. Cheng, C. W. Lee and Z. Chen, “Recognition of radicals in handwritten Chinese characters by means of problem reduction and knowledge guidance,” Int. J. Pattern Recogn. Artif. Intell., Vol. 10, No. 6, pp. 657-677, 1996.
[63] K. W. Gan and K. T. Lua, “Chinese character classification using an adaptive resonance network,” Pattern Recognition, Vol. 25, No. 8, pp. 877-882, 1992.
[64] H. J. Lee and B. Chen, “Recognition of Handwritten Chinese Characters Via Short Line Segments,” Pattern Recognition, Vol. 25, 543-552, 1992.
[65] G. L. Cash and M. Hatamian, “Optical Character Recognition by The Method of Moments,“ Comput. Vision Graphics Image Processing, Vol. 39, 291-310, 1987.
[66] J. S. Huang and M. L. Chung, “Separating Similar Complex Chinese Characters by Walsh Transform,” Pattern Recognition, Vol. 20, 425-528, 1987.
[67] F. H. Cheng, W. H. Hsu, and M. Y. Chen, “Recognition of Handwritten Chinese Characters by Modified Hough transform techniques,” IEEE Trans. Patt. Anal. Machine Intell., Vol. 11, 429-439, 1989.
[68] W. H. Tsai and S. S. Yu, “Attributed String Matching with Merging for Shape Recognition,” IEEE Trans. PAMI, Vol. PAMI-7, No. 4, 1985.
[69] J. Mantas, “An overview of character recognition methodologies,” Pattern Recognition, Vol. 19, No. 6, pp. 425-430, 1986.
[70] G. Nagy, “Chinese character recognition: a twenty-five-year retrospective,” Proc. ICPR, pp. 163-167, 1988.
[71] V. K. Govindan and A. P. Shivaprasad, "Character recognition - A review", Pattern Recognition Vol. 23, No. 7, pp.671-683, 1990.
[72] S. Impedovo, L. Ottaviano, and S. Occhinegro, “Optical character recognition - a survey,” International Journal of Pattern Recognition and Artificial Intelligence, Vol. 5, No. 1ž, pp. 1-24, 1991.
[73] F. H. Cheng and W. H. Hsu, “Research on Chinese OCR in Taiwan,” International Journal of Pattern Recognition and Artificial Intelligence, Vol. 5, No. 1ž, pp. 139-164, 1991.
[74] B. S. Jeng, “A Study on Optical Chinese Character Recognition,” TL Technical Journal, Vol. 20, March, 1990.
[75] B. S. Jeng, “A study on optical Chinese character recognition,” Ph.D. dissertation, Institute of Optical Science, National Central University, Taiwan, R.O.C. 1991.
[76] S. Mori, C. Y. Suen, and K. Yamamoto, "Historical review of OCR research and development", Proc. IEEE, Vol. 80, No. 7, pp.1029-1058, 1992.
[77] T. H. Hildebrandt and W. Liu, “Optical recognition of handwritten Chinese characters: advances since 1980,” Pattern Recognition, Vol. 26, No. 2, pp. 205-225, 1993.
[78] H. J. Lee, “Chinese Character Recognition in Taiwan,” Chap. 1, Handbook on Optical Character Recognition and Document Image Analysis, Eds. P. S. P. Wang and H. Bunke, World Science Publishing Company, 1996.
[79] A. B. Wang, “Radical-based handwritten Chinese character recognition by hierarchical matching,” Ph.D. dissertation, Institute of Computer Science and Information Engineering, National Central University, Taiwan, R.O.C. 1996. |