Efficient iris-region normalization for a video surveillance system

Authors:
Jin Ok Kim;Bong Jo Joung;Chin Hyun Chung;Jun Hwang
Affiliations:
Faculty of Multimedia, Daegu Haany University, Gyeongsangbuk-do, Korea;Department of Information and Control Engineering, Kwangwoon University, Seoul, Korea;Department of Information and Control Engineering, Kwangwoon University, Seoul, Korea;Division of Information and Communication Eng., Seoul Women's University, Seoul, Korea
Venue:
HSI'05 Proceedings of the 3rd international conference on Human Society@Internet: web and Communication Technologies and Internet-Related Social Issues
Year:
2005

Citing 3
Cited 0

Digital Image Processing

Digital Image Processing
High Confidence Visual Recognition of Persons by a Test of Statistical Independence

IEEE Transactions on Pattern Analysis and Machine Intelligence
A human identification technique using images of the iris andwavelet transform

IEEE Transactions on Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

An efficient approach for iris recognition is presented in this paper. An efficient iris region normalization consists of a doubly polar coordinate and noise region exclude. And then a Haar wavelet transform is used to extract features from iris region of normalized. From this evaluation, we obtain iris code of small size and very high recognition rate. This effort is intended to enable a human authentication in small embedded systems, such as an integrated circuit card.