Online Recognition of Handwritten Korean and English Characters |
Ma, Ming
(Dept. of Game Engineering, Paichai University)
Park, Dong-Won (Dept. of Game Engineering, Paichai University) Kim, Soo Kyun (Dept. of Game Engineering, Paichai University) An, Syungog (Dept. of Game Engineering, Paichai University) |
1 | Jung, K., & Kim, H. J. (2000). On-line recognition of cursive Korean characters using graph representation. Pattern Recognition 33, 399-412. DOI ScienceOn |
2 | Kim, H. Y., & Kim, J. H. (2001). Hierarchical random graph representation of handwritten character and its application to Hangul recognition. Pattern Recognition 34 (2), 187-201. DOI ScienceOn |
3 | Kim, P. K., & Kim, H. J. (1995). On-line recognition of run-on Korean characters. Proc. 3rd IEEE Int. Conf. on Document Analysis and Recognition '95, Vol.1, Montreal, Canada, pp.54-57. |
4 | Kim, S. K., Kim, J. W., & Kim, H. J. (1996) .On-line recognition of cursive Korean characters using neural networks. Neurocomputing 10(3): 291-305 DOI ScienceOn |
5 | Kwon, J. O., Sin, B. K., & Kim, J. H. (1997). Recognition of On-line Cursive Korean Characters Combining Statistical and Structural Models. Pattern Recognition, 30, 8, pp.1255-1263 DOI ScienceOn |
6 | Kwon, O. S., & Kwon, Y. B. (1993). An on-line recognition of Hangul handwriting using dynamic generation of line segments. Proceeding of The Twentieth KISS Spring Conference, pp.151-154. |
7 | Liu C. L., Jaeger, S., & Nakagawa, M. (2004). Online recognition of Chinese characters: the state-ofthe- art. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.26, No.2. |
8 | Park, H. S., & Lee, S. W. (1996). Off-line recognition of large-set handwritten characters with multiple hidden Markov models, Pattern Recognition 29(2), 231-244. DOI ScienceOn |
9 | Parisse, C. (1996). Global word shape processing in on-line recognition of handwriting. IEEE Trans. Pattern Anal. Mach. Intell, 18 (4) 460-464. DOI ScienceOn |
10 | Plamondon, R., & Srihari, S. N. (2000). On-line and off-line handwriting recognition: A comprehensive survey. IEEE Transactions on Pattern Analysis and Machine Intelligence , 22 (1), 63-84. DOI ScienceOn |
11 | Rabiner, L. R., & Levinson, S. E. (1985). A speaker-independent, syntax-directed, connected word recognition system based on hidden Markov models and level building. IEEE Trans. Acousf. Speech Signal Process., 33, (3), pp.561-573. DOI |
12 | Senior, A. W., & Robinson, A. J. (1998). An on-line cursive handwriting recognition system, IEEE Trans. Pattern Anal. Mach. Intell, 20 (3) 309-321. DOI ScienceOn |
13 | Vuori, V. (2002). Adaptive Methods for On-Line Recognition of Isolated Handwritten Characters, PHD dissertation |
14 | Yacoubi, A. E., Gilloux, M., Sabourin, R., & Suen, C. (1999). An HMM-based approach for on-line unconstrained handwritten word modeling and recognition. IEEE Trans. Pattern Anal. Mach. Intel, 21 (8) 752-760. DOI ScienceOn |
15 | Brown, P. (1987).The Acoustic Modeling Problem in Automatic Speech Recognition. PhD thesis, Comp. Sci. Dep., Carnegie Mellon Univ. |
16 | Jaeger, S., Manke, S., Reichert, J., & Waibel, A. (2001). Online handwriting recognition: the NPen++ recognizer. International Journal on Document Analysis and Recognition 3 (3), 169-180. DOI ScienceOn |