Affiliation:
1. Department of Computer Science, Shahid Bahonar University of Kerman, Kerman, Iran
Abstract
Abstract
In this paper we implement six different learning algorithms in Optical Character Recognition (OCR) problem and achieve the criteria of end-time, number of iterations, train-set performance, test-set performance, validate-set performance and overall performance of these methods and compare them. Finally, we show the advantages and disadvantages of each method.
Cited by
2 articles.
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