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Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.
The purpose of this paper is to present a novel neural network based algorithm to improve the segmentation process of cursive handwriting recognition and a detailed analysis of the performance of the algorithm on a benchmark database. The algorithm is based on a technique to fuse left character, center character and neural validation confidence values. A technique is proposed to extract a character between two segmentation points, which avoids vertical segmentation. Also a fusion technique anddoi:10.1109/iconip.2002.1201936 fatcat:kt3sqi2jgfc4rhjedlrrx3vy3e