About this article
Published Online: Jul 15, 2014
Page range: 114 - 126
DOI: https://doi.org/10.2478/cait-2014-0024
Keywords
© 2014 Marjan Kuchaki Rafsanjani and Masoud Pourshaban
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
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.