High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Personal Identification Based on Iris Texture Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
High performance iris recognition based on 1-D circular feature extraction and PSO-PNN classifier
Expert Systems with Applications: An International Journal
An Improved Iris Recognition Method Based on Gray Surface Matching
IAS '09 Proceedings of the 2009 Fifth International Conference on Information Assurance and Security - Volume 01
An Approach of Iris Feature Extraction for Personal Identification
ARTCOM '09 Proceedings of the 2009 International Conference on Advances in Recent Technologies in Communication and Computing
Iris recognition using artificial neural networks
Expert Systems with Applications: An International Journal
A human identification technique using images of the iris andwavelet transform
IEEE Transactions on Signal Processing
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
Iris based authentication system is essentially a pattern recognition technique that makes use of iris patterns, which are statistically unique, for the purpose of personal identification. In this study, a novel method for recognition of iris patterns is considered by using a combination of support vector machine and Hamming distance. The zigzag collarette area of the iris is selected for iris feature extraction because it captures the most important areas of iris complex pattern and higher recognition rate is achieved. The proposed approach also used parabola detection and trimmed median filter for the purpose of eyelid and eyelash detection & removal, respectively. The proposed method is computationally effective as well as reliable with a recognition rate of 99.91% and 99.88% on CASIA and Chek image database respectively.