Iris Recognition: An Emerging Biometric Technology


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

External resources

Advanced Source Code .Com

Neural Networks .It

Genetic Algorithms .It

Face Recognition .It

Phase-Based Iris Identification

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

A major approach for iris recognition today is to generate feature vectors corresponding to individual iris images and to perform iris matching based on some distance metrics. One of the difficult problems in feature-based iris recognition is that the matching performance is significantly influenced by many parameters in feature extraction process, which may vary depending on environmental factors of image acquisition. We present an efficient algorithm for iris recognition using phase-based image matching. The use of phase components in 2D discrete Fourier transforms of iris images makes possible to achieve highly robust iris recognition in a unified fashion with a simple matching algorithm. Experimental evaluation using an iris image database clearly demonstrates an efficient matching performance of the proposed algorithm.

Index Terms: Matlab, source, code, iris recognition, iris matching, iris verification, phase, correlation, fourier transforms.

Release 1.0 Date 2007.08.06
Major features:

Iris Recognition . It Luigi Rosa mobile +39 3207214179