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In this paper, a new method is proposed to extract the features of a one-number Persian image in which for the final verification of the extracted features, a three-layer neural network (mesh) of Perceptron has been utilized. The method, which is called Water Filling method, is capable of extracting some ideal features from a one-number image that are stable against rotation, movement, size change and noise. The method is examined on a database of 60000 discretized numbers, from which 40000 numbers were used in the training stage and 20000 ones were used for the experiment. The recognition percentage of 92.7% shows the great efficiency of the proposed method.
Published in:
Future Networks, 2009 International Conference on
Date of Conference: 7-9 March 2009
- Page(s):
- 51 - 56
- Print ISBN:
- 978-0-7695-3567-8
- INSPEC Accession Number:
- 10804622
- Conference Location :
- Bangkok
- Digital Object Identifier :
- 10.1109/ICFN.2009.26
- Product Type:
- Conference Publications
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