Neural network applications in character recognition and document analysis

Jackel, L. D.; Battista, M. Y.; Ben, J.; Bromley, J.; Burges, C. J. C.; Baird, H. S.; Cosatto, E.; Denker, J. S.; Graf, H. P.; Katseff, H. P.; Le Cun, Y.; Nohl, C. R.; Sackinger, E.; Shamilian, J. H.; Shoemaker, T.; Stenard, C. E.; Strom, B. I.; Ting, R.; Wood, T. and Zuraw, C. R. (1994). Neural network applications in character recognition and document analysis. In: Yuhas, Ben and Ansari, Nirwan eds. Neural Networks in Telecommunications. Boston: Kluwer Academic Publishers, pp. 271–285.

DOI: https://doi.org/10.1007/978-1-4615-2734-3_14

Abstract

A proven strength of neural-network methods is their application to character recognition and document analysis. In this paper we describe a neural-net Optical Character Recognizer (OCR), neural-net preprocessing, and neuralnet hardware accelerators that together comprise a high-performance character recognition system. We also describe applications in networkbased fax and bit-mapped text processing.

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