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The Recognition of Handwritten Numbers by Extracting New Features Using Water Filling Method

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3 Author(s)
Enayatifar, R. ; Firoozkuh Branch, Azad Univ., Firoozkuh, Iran ; Sadeghi, H. ; Mirzaei, K.

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