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Human Iris Recognition using Elman Neural Networks

Shaymaa Al-mashahadany · University of Mosul, College of Education for Pure Science · 2010

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Author / responsible party
Shaymaa Al-mashahadany
Publisher
University of Mosul, College of Education for Pure Science
Year
2010
ISSN
1812-125X
ISSN
1812-125X
Language
English
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ABSTRACT<br /> The human iris is one of the best biometric features in the human body for pattern recognition. In this paper, the iris recognition system is described that consist of two main parts: image processing and its recognition.<br /> Image processing follows the capture of image, then followed by image segmentation, then localization of iris region by determining the inner and outer boundaries of the iris region and by removing the eyelashes and eyelids. <br /> To overcome the discrepancies in the iris region, a rectangular shape with constant dimensions is proposed, which is represented by a set of data following the normalization procedure.

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APA 7

Al-mashahadany, S. (2010). Human Iris Recognition using Elman Neural Networks. https://doi.org/10.33899/edusj.2010.57988

MLA

Al-mashahadany, Shaymaa. "Human Iris Recognition using Elman Neural Networks." 2010. https://doi.org/10.33899/edusj.2010.57988.

Chicago

Al-mashahadany, Shaymaa. 2010. "Human Iris Recognition using Elman Neural Networks.". https://doi.org/10.33899/edusj.2010.57988.

Harvard

Al-mashahadany, S. 2010, Human Iris Recognition using Elman Neural Networks, University of Mosul, College of Education for Pure Science, available at: https://doi.org/10.33899/edusj.2010.57988 [Accessed 7 Aug. 2026].

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Title
Human Iris Recognition using Elman Neural Networks
Author / contributors
Shaymaa Al-mashahadany
Publisher
University of Mosul, College of Education for Pure Science
Publication year
2010
ISSN
1812-125X
ISSN
1812-125X
Language
English

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human iris recognition; elman neural networks; image segmentation
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