A contour character extraction approach in conjunction with a neural confidence fusion technique for the segmentation of handwriting recognition

B. Verma
2002 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 and
more » ... technique to over-segment the words are described in this paper. A large number of experiments were conducted and an extensive analysis of comparative results on a benchmark database is included. The segmentation results obtained are very promising.
doi:10.1109/iconip.2002.1201936 fatcat:kt3sqi2jgfc4rhjedlrrx3vy3e