Artificial Neural Networks for Document Analysis and Recognition

Bibliography on Character Segmentation
[BJKK98] Jin Hak Bae, K.C. Jung, J.W. Kim, and H.J. Kim. Segmentation of touching characters using an MLP. PRL, 19(8):701-709, 1998.
[BK93] T.A. Bayer and U. H.-G. Kressel. Cut classification for segmentation. In ICDAR 93, pages 565-568, 1993.
[BKH92] T.A. Bayer, U. H.-G. Kressel, and M. Hammelsbeck. Segmenting merged characters. In ICPR 92, pages 346-349, 1992.
[CL95] R.G. Casey and E. Lecolinet. Strategies in character segmentation: A survey. In ICDAR 95, pages 1028-1033, 1995.
[CL96] R. G. Casey and E. Lecolinet. A survey of methods and strategies in character segmentation. IEEE TPAMI, 18(7):690-706, 1996.
[LCS98] Z. K. Lu, Z. Chi, and W. C. Siu. Length estimation of digits strings using a neural network with structure based features. SPIE/IS&T Journal of Electronic Imaging, 7(1):79-85, January 1998.
[LCSS99] Z. Lu, Z. Chi, W.-C. Siu, and P. Shi. A background-thinning-based approach for separating and recognizing connected handwritten digit strings. Pattern Recognition, 32(6):921-933, 1999.
[LLP96] S. W. Lee, D.-J. Lee, and H.-S. Park. A new methodology for gray-scale character segmentation and recognition. IEEE TPAMI, 18(10):1045-1050, 1996.
[SG97] Z.X. Shi and V. Govindaraju. Segmentation and recognition of connected handwritten numeral strings. Pattern Recognition, 30(9):1501-1504, 1997.
[WJ94] Jin Wang and J. Jean. Segmentation of merged characters by neural networks and shortest path. Pattern Recognition, 27(5):649-658, 1994.
[YK03] D. You and G. Kim. An approach for locating segmentation points of handwritten digit strings using a neural network. In ICDAR 03, pages 142-146, 2003.


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