Efficient online handwritten Chinese character recognition system using a two-dimensional functional relationship model

Battaglia, G. J. (1996). Mean square error, AMP Journal of Technology 5(1): 31-36.Search in Google Scholar

Casey, R. G. (1970). Moment normalization of handprinted character, IBM Journal of Research and Development 14(5): 548-557.10.1147/rd.145.0548Search in Google Scholar

Chang, Y. F., Rijal, O. M. and Abu Bakar, S. A. R. (2010). Multidimensional unreplicated linear functional relationship model with single slope and its coefficient of determination, WSEAS Transactions on Mathematics 9(5): 295-C313.Search in Google Scholar

Dan, J. (2004). Modern Chinese Character Frequency List http://lingua.mtsu.edu/chinesecomputing/statistics/char/list.php?Which=MOSearch in Google Scholar

Deepu, V., Sriganesh, M. and Ramakrishnan, A. G. (2004). Principal component analysis for online handwritten character recognition, Proceedings of the 17th International Conference on Pattern Recognition, Cambridge, UK, Vol. 2, pp. 327-330.Search in Google Scholar

Dong, J. X., Krzyżak, A. and Suen, C. Y. (2005). An improved handwritten Chinese character recognition system using support vector machine, Pattern Recognition Letters 26(12): 1849-1856.10.1016/j.patrec.2005.03.006Search in Google Scholar

Fujarewicz, K. and Wiench, M. (2003). Selecting differentially expressed genes for colon tumor classification, International Journal of Applied Mathematics and Computer Science 13(3): 327-335.Search in Google Scholar

Gao, T. F. and Liu, C. L. (2008). High accuracy handwritten Chinese character recognition using LDA-based compound distances, Pattern Recognition 41(11): 3442-3451.10.1016/j.patcog.2008.04.011Search in Google Scholar

Gao, X., Jin, L. W., Yin, J. X. and Huang, J. C. (2002). SVM-based handwritten Chinese character recognition, Chinese Journal of Electronics 30(5): 651-654.Search in Google Scholar

Gonzalez, R. C. and Woods, R. E. (1993). Digital Image Processing, Addison-Wesley Publishing Co., New York, NJ, pp. 580-583.Search in Google Scholar

Horiuchi, T., Haruki, R., Yamada, H. and Yamamoto, K. (1997). Two-dimensional extension of nonlinear normalization method using line density for character recognition, Proceedings of the 4th International Conference on Document Analysis and Recognition, Ulm, Germany, pp. 511-514.Search in Google Scholar

Huang, L. and Huang, X. (2001). Multiresolution recognition of offline handwritten Chinese characters with wavelet transform, Proceedings of the 6th International Conference on Document Analysis and Recognition, Washington, DC, USA, pp. 631-634.Search in Google Scholar

Kato, N., Suzuki, M., Omachi, S. I., Aso, H. and Nemoto, Y. (1999). A handwritten character recognition system using directional element feature and asymmetric Mahalanobis distance, IEEE Transactions on Pattern Analysis and Machine Intelligence 21(3): 258-262.10.1109/34.754617Search in Google Scholar

Kawamura, A., Yura, K., Hayama, T., Hidai, Y., Minamikawa, T., Tanaka, A. and Masuda, S. (1992). On-line recognition of freely handwritten Japanese characters using directional feature densities, Proceedings of the 11th International Conference on Pattern Recognition, The Hague, the Netherlands, Vol. 2, pp. 183-186.Search in Google Scholar

Kimura, F., Takashina, K., Tsuruoka, S. and Miyake, Y. (1987). Modified quadratic discriminant functions and its application to Chinese character recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence 9(1): 149-153.10.1109/TPAMI.1987.4767881Search in Google Scholar

Kimura, F., Wakabayashi, T., Tsuruoka, S. and Mayake, Y. (1997). Improvement of handwritten Japanese character recognition using weighted direction code histogram, Pattern Recognition 30(8): 1329-1337.10.1016/S0031-3203(96)00153-7Search in Google Scholar

Liu, C. L. and Marukawa, K. (2004). Global shape normalization for handwritten Chinese character recognition: A new method, Proceedings of the 9th International Workshop on Frontiers of Handwriting Recognition, Tokyo, Japan, pp. 300-305.Search in Google Scholar

Liu, C. L. and Marukawa, K. (2005). Pseudo two-dimensional shape normalization methods for handwritten Chinese character recognition, Pattern Recognition 38(12): 2242-2255.10.1016/j.patcog.2005.04.019Search in Google Scholar

Liu, C. L., Jaeger, S. and Nakagawa, M. (2004). Online recognition of Chinese characters: The-state-of-the art, IEEE Transactions on Pattern Analysis and Machine Intelligence 26(2): 198-213.10.1109/TPAMI.2004.126218215376895Search in Google Scholar

Liu, C. L., Mine, R. and Koga, M. (2005). Building compact classifier for large character set recognition using discriminative feature extraction, Proceedings of the 8th ICDAR, Seoul, Korea, pp. 846-850.Search in Google Scholar

Liu, C. L., Sako, H. and Fujisawa, H. (2003). Handwritten Chinese character recognition: Alternatives to nonlinear normalization, Proceedings of the 7th International Conference on Document Analysis and Recognition, Edinburgh, UK, pp. 524-528.Search in Google Scholar

Liu, H. and Ding, X. (2005). Handwritten character recognition using gradient feature and quadratic classifiers with multiple discrimination schemes, Proceedings of the 8th ICDAR, Seoul, Korea, pp. 19-23.Search in Google Scholar

Liu, J. Z., Cham, W. K. and Chang, M. M. Y. (1996). Online Chinese character recognition using attributed relational graph matching, IEE Proceedings: Vision, Image, Signal Processing 143(2): 125-131.10.1049/ip-vis:19960326Search in Google Scholar

Long, T. and Jin, L. W. (2008). Building compact MQDF classifier for large character set recognition by subspace distribution sharing, Pattern Recognition 41(9): 2916-2925.10.1016/j.patcog.2008.02.009Search in Google Scholar

Michalak, K. and Kwaśnicka, H. (2006). Correlation-based feature selection strategy in classification problems, International Journal of Applied Mathematics and Computer Science 16(4): 503-511.10.1109/ISDA.2006.128Search in Google Scholar

Miquelez, T., Bengoetxea, E. and Larranaga, P. (2004). Evolutionary computation based on Bayesian classifiers, International Journal of Applied Mathematics and Computer Science 14(3): 335-349.Search in Google Scholar

Ritter, G. X. and Wilson, J. N. (2001). Handbook of Computer Vision Algorithms in Image Algebra, CRC Press LLC, Boca Raton, FL, pp. 225-228.Search in Google Scholar

Romero, R., Berger, R., Thibadeau, R. and Touretsky, D. (1995). Neural network classifiers for optical Chinese character recognition, Proceedings of the 4th Annual Symposium on Document Analysis and Information Retrieval, Las Vegas, NV, USA, pp. 385-398.Search in Google Scholar

Saeed, K. (2000). A projection approach for Arabic handwritten characters recognition, in P. Sincak and J. Vascak (Eds.), Quo Vadis Computational Intelligence? New Trends and Approaches in Computational Intelligence, Physica-Verlag, Berlin, pp. 106-111.Search in Google Scholar

Shimodaira, H., Sudo, T., Nakai, M. and Sagayama, S. (2003). On-line overlaid-handwriting recognition based on substroke HMMs, Proceedings of the 7th International Conference on Document Analysis and Recognition, Edinburgh, UK, Vol. 2, p. 1043.Search in Google Scholar

Shioyama, T., Wu, H. Y. and Nojima, T. (1998). Recognition algorithm based on wavelet transform for handprinted Chinese characters, Proceedings of the 14th International Conference on Pattern Recognition, Hong Kong, China, Vol. 1, pp. 229-232.Search in Google Scholar

Suzuki, M., Ohmachi, S., Kato, N., Aso, H. and Nemoto, Y. (1997). A discrimination method of similar characters using compound Mahalanobis function, IEICE Transactions on Information and Systems J80-D(10): 2752-2760.Search in Google Scholar

Świniarski, R. W. (2001). Rough sets methods in feature reduction and classification, International Journal of Applied Mathematics and Computer Science 11(3): 565-582.Search in Google Scholar

Takahashi, K., Yasuda, H. and Matsumoto, T. (1997). A fast HMM algorithm for on-line handwritten character recognition, Proceedings of the 4th International Conference on Document Analysis and Recognition, Ulm, Germany, pp. 369-375.Search in Google Scholar

Van der Weken, D., Nachtegael, M. and Kerre, E. E. (2002). Image quality evaluation, Proceedings of the 6th International Conference on Signal Processing, Beijing, China, Vol. 1, pp. 711-714.Search in Google Scholar

Wang, Z., Bovik, A. C., Sheikh, H. R. and Simoncelli, E. P. (2004). Image quality assessment: From error visibility to structural similarity, IEEE Transactions on Image Processing 13(4): 600-612.10.1109/TIP.2003.819861Search in Google Scholar

Zheng, J., Ding, X. and Wu, Y. (1997). Recognizing online handwritten Chinese character via FARG matching, Proceedings of the 4th International Conference on Document Analysis and Recognition, Ulm, Germany, Vol. 2, pp. 621-624.Search in Google Scholar