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Authors: Saeed Mozaffari ; Karim Faez and Hamidreza Rashidy Kanan

Affiliation: AmirKabir University of Technology, Iran, Islamic Republic of

ISBN: 972-8865-01-5

Abstract: In this paper we proposed a new method for isolated handwritten Farsi/Arabic characters and numerals recognition using fractal codes. Fractal codes represent affine transformations which when iteratively applied to the range-domain pairs in an arbitrary initial image, the result is close to the given image. Each fractal code consists of six parameters such as corresponding domain coordinates for each range block, brightness offset and an affine transformation which are used as inputs for a multilayer perceptron neural network for learning and identifying an input. This method is robust to scale and frame size changes.32 Farsi’s characters are categorized to 8 different classes in which the characters are very similar to each others. There are ten digits in Farsi/Arabic language and since two of them are not used in postal codes in Iran, therefore 8 more classes are needed for digits. According to experimental results, classification rates of 91.37% and 87.26% were obtained for digit s and characters respectively on the test sets gathered from various people with different educational background and different ages. (More)

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Paper citation in several formats:
Mozaffari S.; Faez K.; Rashidy Kanan H. and (2004). Application of Fractal Codes in Recognition of Isolated Handwritten Farsi/Arabic Characters and Numerals.In Proceedings of the 4th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2004) ISBN 972-8865-01-5, pages 202-209. DOI: 10.5220/0002662802020209

@conference{pris04,
author={Saeed Mozaffari and Karim Faez and Hamidreza {Rashidy Kanan}},
title={Application of Fractal Codes in Recognition of Isolated Handwritten Farsi/Arabic Characters and Numerals},
booktitle={Proceedings of the 4th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2004)},
year={2004},
pages={202-209},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002662802020209},
isbn={972-8865-01-5},
}

TY - CONF

JO - Proceedings of the 4th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2004)
TI - Application of Fractal Codes in Recognition of Isolated Handwritten Farsi/Arabic Characters and Numerals
SN - 972-8865-01-5
AU - Mozaffari, S.
AU - Faez, K.
AU - Rashidy Kanan, H.
PY - 2004
SP - 202
EP - 209
DO - 10.5220/0002662802020209

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