Gray-scale nonlinear shape normalization method for handwritten oriental character recognition

International Journal of Pattern Recognition and Artificial Intelligence

Volumn 12, Issue 1, 1998, Pages 81-95

  Kim, Sang Yup ^a   Lee, Seong Whan ^a,b,c,d,e  

^a Korea University   (South Korea)

^b Seoul National University   (South Korea)

^c Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^d IEEE   (South Korea)

^e International Neural Network Society   (United States)

Author keywords

Gray scale nonlinear shape normalization; Nonlinear shape normalization; Oriental character recognition; Preprocessing; Two dimensional nonlinear interpolation

Indexed keywords

EID: 0005331668     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218001498000075     Document Type: Article

References (8)

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2. S.-W. Lee, D. J. Lee and H.-S. Park, "A new methodology for gray-scale character segmentation and recognition", IEEE Trans. Patt. Anal. Mach. Intell. 18, 10 (1996) 1045-1050.
3. S.-W. Lee and J. S. Park, "Nonlinear shape normalization methods for the recognition of large-set handwritten characters", Patt. Recogn. 27, 7 (1994) 895-902.
4. S.-W. Lee et al., "Design and construction of large-set off-line handwritten Hangul character image database KU-1", Proc. National Conf. on Hangul Information Processing, Pusan, Oct. 1997, pp. 152-159.
5. C. A. Lindley, Practical Image Processing in C, John Wiley & Sons, 1991.
6. H.-S. Park, S.-Y. Kim and S.-W. Lee, "Gray-scale hand-written character recognition based on principal features", Proc. 1997 SPIE Conf. Document Recognition (IV), San Jose, USA, Feb. 1997, pp. 40-49.
7. J. Tsukumo and H. Tanaka, "Classification of handprinted Chinese characters using nonlinear normalization methods", Proc. 9th Int. Conf. Pattern Recognition, Rome, Italy, November 1988, pp. 168-171.
8. H. Yamada, K. Yamamoto and T. Saito, "A nonlinear normalization for handprinted Kanji character recognition - line density equalization", Pott. Recogn. 23, 9 (1990) 1023-1029.