Abstract:Iris recognition, as a biometric technology, has great mathematical advantages, such as variability, stability and security, thus becoming a hot topic in pattern recognition and machine learning resea...Iris recognition, as a biometric technology, has great mathematical advantages, such as variability, stability and security, thus becoming a hot topic in pattern recognition and machine learning research area. How to extract and match the feature of Iris is the key problem in iris recognition. Nowadays, most of the iris identification methods are utilizing the strategy that extracts the feature points in the iris image firstly and then encodes these points into a certain length feature data for matching. But this strategy can make the iris identification system fragile to be attack. In order to improve the security and speed of iris identification systems, an iris identification method based on normalized correlation is proposed. This method established on the living specimen iris direct match, the security is higher, and it does not need the feature extracting. Experimental results demonstrate that the accuracy is 98.86% and the speed is 30.1 ms. This method has the ability of translation, rotation, and scale invariant. has high accuracy and speed.Read More
Publication Year: 2009
Publication Date: 2009-01-01
Language: en
Type: article
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