Title :
An effective iris recognition system for identification of humans
Author :
Khan, Muhaminad Khurrarn ; Zhang, Jiashu ; Horng, Shi-Jinn
Author_Institution :
Res. Group for Biometrics, Southwest Jiaotong Univ., Chengdu, China
Abstract :
In this paper, identification and verification approach based on human iris pattern is presented. The system is based on several steps from capturing the iris pattern, determining and localizing the iris boundaries, transformation of localized iris into rectangular and polar components, extracting the features from the image, based on wavelet transformation and at the end the matching of the iris. Matching is based on calculating the hamming codes of different irises. The algorithms used in this research are computationally effective, reliable, robust, and meet the industry standards in an efficient and effective manner. The accuracy of the presented work shows that our system is ideal for human recognition at high security places.
Keywords :
Hamming codes; biometrics (access control); eye; feature extraction; image recognition; wavelet transforms; feature extraction; hamming codes; human identification; human recognition; iris recognition system; wavelet transformation; Authentication; Biometrics; Computer science; Fingerprint recognition; Government; Humans; Information security; Iris recognition; Pins; Read only memory;
Conference_Titel :
Multitopic Conference, 2004. Proceedings of INMIC 2004. 8th International
Print_ISBN :
0-7803-8680-9
DOI :
10.1109/INMIC.2004.1492856