학술논문

Iris Recognition Algorithm Optimized for Hardware Implementation
Document Type
Conference
Source
2006 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology Computational Intelligence and Bioinformatics and Computational Biology, 2006. CIBCB '06. 2006 IEEE Symposium on. :1-5 Sep, 2006
Subject
Bioengineering
Computing and Processing
Iris recognition
Hardware
Histograms
Image segmentation
Optical reflection
Feature extraction
Eyelids
Embedded system
Image resolution
Infrared imaging
Language
Abstract
Iris recognition is accepted as one of the most efficient biometric method. Implementing this method to the practical system requires the special image preprocessing where the iris feature extraction plays a crucial role. Recognition is preceeded by iris localization which consists in finding the iris boundaries as well as eyelids. In this paper the short introduction into iris localization and wavelet-based iris identification method optimized for embedded systems is described. Proposed solution was applied to high resolution images taken under near infrared light.