Abstract
In this chapter, we will use a neural network pattern matcher to recognize handwritten characters. We will discuss required preprocessing of input data, present the sample program, show sample program output, and compare the neural network approach to a more conventional software approach to solving this problem.
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© 1991 Springer-Verlag New York, Inc.
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Watson, M. (1991). Recognition of Handwritten Characters. In: Common LISP Modules. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3186-8_6
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DOI: https://doi.org/10.1007/978-1-4612-3186-8_6
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-97614-3
Online ISBN: 978-1-4612-3186-8
eBook Packages: Springer Book Archive