Implementation of Wavelet Transform-Based Algorithm for Iris Recognition System
Keywords:
Biometrics, degrees of freedom, hamming distance, iris recognition, waveletAbstract
The purpose of this study is to design a system that
will capture the iris image and develop a reliable feature extraction algorithm for iris recognition system. The proposed system is a complete iris recognition system with hardware and software components in which the focus is on the implementation of algorithm based on wavelet transforms. The system consists of the video camera that is interfaced through a frame grabber using the MATLAB program to capture an image of the human eye. The camera includes adjustable chin support, NIR filter and NIR diodes for the lighting and distance settings. The algorithm implemented in software performs segmentation, normalization, feature encoding, and matching. The feature encoding is performed by decomposing the normalized 24 x 240 pixels iris image using Haar and Biorthogonal wavelet families at various levels. The vertical coefficients are encoded into iris templates and stored at the database. The system is evaluated in two modes: verification
and identification. The HD values are used as threshold levels to identify the iris image. The number of degrees of freedom is calculated for inter-class comparisons. The test results at different coefficients show that in terms of efficiency, the Haar wavelet decomposition at level 4 is the highest with a Correct Recognition Rate (CRR) of 98% at a feature vector length of 120 bits. The Equal Error Rate (ERR) of the system is 2%. The metrics show that the proposed system provides highly accurate
recognition rates and suggest the most appropriate choices that need to be made for best results.
Downloads
Downloads
Published
Issue
Section
License
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
