Iris Recognition: An Emerging Biometric Technology

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Iris recognition

Iris Recognition System

Iris Recognition Based on Neural Networks

Phase-Based Iris Identification

Moving Average Filter Iris Recognition

Iris Identification Based on 2D Wavelet

DCT-Based Iris Recognition

Hybrid Iris Recognition

LBP Iris Recognition

Iris Recognition Based on Genetic Algorithms

One-to-One Iris Recognition System

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Neural Networks .It

Genetic Algorithms .It

Face Recognition .It

Iris Identification Based on 2D Wavelet


Download now Matlab source code
Requirements: Matlab, Matlab Image Processing Toolbox, Matlab Wavelet Toolbox.

Identification of humans through biometric technologies is becoming common. Different biometric technologies like finger, face, voice, iris recognition, etc. use different behavioral or psychological characteristics of humans for recognition. Early systems used to have password and ID cards for verification but it has two major problems of forgotten passwords and stolen ID cards. Biometrics provided solution to these problems. Among the all biometrics, iris recognition has achieved highest recognition accuracy. An iris is a colored area between dark pupil and bright sclera. Iris has unique characteristics like stability of iris patterns throughout life time, not surgically modifiable. Its probability of uniqueness among all humans has made it a reliable and efficient human recognition technique. It can be used in many applications like controlled access, airports, ATM, etc. Many researchers developed iris recognition systems that are different to each other with respect to feature extraction.

Iris structure has complex and plentiful textures which can be extracted as features for iris coding. We present a new representation of iris coding by using 2D wavelet. The proposed scheme of feature extraction is to use the multi-level coefficients of decomposition parts of image via wavelet. A feature vector consists of 5-level decomposition coefficients along vertical and horizontal direction. From these coefficients a compact binary code is generated.

Index Terms: Matlab, source, code, iris, recognition, identification, wavelet, wavelets, decomposition.

Release 1.0 Date 2008.11.08
Major features:


Iris Recognition . It Luigi Rosa mobile +39 3207214179 luigi.rosa@tiscali.it
http://www.advancedsourcecode.com