Iris Recognition Based on KAISER Filter and Whole Phase Analysis

摘要：

Kaiser function is used to establish clear edge Kaiser filter channel which has selectivity in the frequency and direction with the characteristic of high adaptability and adjustable performance to feature the iris frequency, which is to modify the filter channel edge faintness due to the spectrum leakage when Gabor filter does the data truncation. Then complete classification of the weighted phase correlation algorithm is used to classify the characteristic of iris phase extracted from Kaiser filter which can reflect subtle difference among the iris characteristics better. Experiment shows that: The accuracy of iris recognition is 99.58％ by using the algorithm in this article, while the FAR is 0.12％ and the FFR is 0.16％. Thus, the algorithm is good at feature extraction, classification and recognition.

关键词： iris recognition Kaiser filter feature extraction whole phase FAR

作者: Liu Yang Yue Xue Dong He Yan Liu Ying Fei

作者单位: School of Computer and Communications Engineering Zhengzhou University of Light Industry Zhengzhou, School of Physics and Engineering Zhengzhou University Zhengzhou, China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering(计算机与通信技术在农业工程国际会议 CCTAE 2010)

会议地点: 成都

会议语种:英文

页码: 180-182

在线出版日期: 2010-06-12（万方平台首次上网日期，不代表论文的发表时间）