Iris Recognition Algorithm Using Effective Localized Fuzzy Features

The iris has a particularly interesting structure and provides abundant texture information. In this paper we propose a novel fuzzy feature extraction method, which can provide robust and effective iris feature vectors. The IR System consists of automatic segmentation algorithm which is based on Hou...

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Published in:International journal of advanced research in computer science 2013-05, Vol.4 (5)
Main Authors: Lttadi, Ankarao, Jain, Manoj
Format: Article
Language:English
Subjects:
Adaptive filters
Algorithms
Audit trails
Biometrics
Blocking
Computer science
Fuzzy
Fuzzy logic
Fuzzy set theory
Surface layer
Texture
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Jain, Manoj
description The iris has a particularly interesting structure and provides abundant texture information. In this paper we propose a novel fuzzy feature extraction method, which can provide robust and effective iris feature vectors. The IR System consists of automatic segmentation algorithm which is based on Hough Transform which is able to localize the circular iris and pupil region. The extracted iris region is normalized into a rectangular block with constant dimensions to account for dimensional inconsistencies. Image enhancement is done by using fuzzy adaptive filter and is divided into non overlapping sub blocks to capture local iris characteristics. The fuzzy features of neighbourhood are aggregated to yield a representative called cumulative response that represents the texture.
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subjects Adaptive filters
Algorithms
Audit trails
Biometrics
Blocking
Computer science
Fuzzy
Fuzzy logic
Fuzzy set theory
Surface layer
Texture
title Iris Recognition Algorithm Using Effective Localized Fuzzy Features
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