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1 July 1992 Self-organizing integrated segmentation and recognition neural network
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Abstract
We present a neural network algorithm that simultaneously performs segmentation and recognition of input patterns that self-organizes to detect input pattern locations and pattern boundaries. We outline the algorithm and demonstrate this neural network architecture and algorithm on character recognition using the NIST database and report results herein. The resulting system simultaneously segments and recognizes touching characters, overlapping characters, broken characters, and noisy images with high accuracy. We also detail some of the characteristics of the algorithm on an artificial database in the appendix.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James D. Keeler and David E. Rumelhart "Self-organizing integrated segmentation and recognition neural network", Proc. SPIE 1710, Science of Artificial Neural Networks, (1 July 1992); https://doi.org/10.1117/12.140155
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