【摘要】 提出了一种基于独立分量分析和支持向量机的虹膜识别方法—ICA提取虹膜特征,SVM实现模式匹配.与G abor小波的方法比较,在编码长度和编码时间方面有较明显地改进.实验结果表明,该算法能够有效地应用到身份鉴别系统中.更多还原

【Abstract】 In this paper,a new iris recognition algorithm based on Independent Component Analysis and Support Vector Machine was proposed.ICA is applied to extract iris feature and SVM is used in pattern matching.Compared with Gabor wavelet method, the size of an iris code and the processing time of the feature extraction are significantly reduced.Experimental results show that the proposed system could be used for a personal identification system in an efficient and effective manner.更多还原