Human Iris Recognition Based on Hybrid Technique
- 1 University of Kufa, Iraq
Abstract
Iris recognition is a biometric technique that uses iris pattern information to detect person identification. Initially, the system find out the boundary of the pupil and iris. Then, Circular Hough transform used to find out the center of both pupil and iris in order to crop iris part from the eye image. After that, Daugman’s Rubber Sheet model utilized for performing the normalizing step. Then, features extracted based on Legendre moment and Local Quantized. Several orders value with many region of iris have been used to get best value, which satisfied the highest recognition rate. Matching was performed by City Block Distance. The simulation was carried out using samples from CASIA.v4-Interval database, the main tool for programming is MATLAB
DOI: https://doi.org/10.3844/jcssp.2019.1734.1745
Copyright: © 2019 Asaad Noori Hashim and Bushraa Mahdi Al-Hashimi. This is an open access article distributed under the terms of the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Keywords
- Iris Recognition
- Biometric
- Feature Extraction
- Legendre
- Local Quantized Pattern (LQP)