文献类型：会议论文

英文题名：A iris recognition algorithm based on ICA and SOM neural network

作者：Lu, Bo[1]; Wu, Jing-Jing[1]; Wang, Yu[1]

第一作者：Lu, Bo

通讯作者：Wang, Y.

机构：[1] College of Information, Beijing Union University, Beijing,100101, China

第一机构：北京联合大学智慧城市学院

会议论文集：Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010

会议日期：16 October 2010 through 18 October 2010

会议地点：Yantai

语种：英文

外文关键词：Biometrics - Conformal mapping - Defects - Extraction - Feature extraction - Independent component analysis - Linear transformations - Signal processing - Vector spaces - Wavelet transforms

摘要：For overcoming defect of vector-based nondynamic and parameter specifies method which based on linear transformation feature extraction, a iris feature extraction method which based on the Independent Component Analysis (ICA) is advanced.This method almost removed redundancy of feature space and overcome the defect of traditional linear transformation feature-based vectors non-dynamic.And then Self-Organizing Maps(SOM) neural network is used for iris classification and recognition.As the experimental result shown that the recognition rate of three sample is 98.81%,96.67% and 100%,respectively.The correctness and validity of this algorithm is proved by these experimental result. ?2010 IEEE.