计算机应用与软件2024，Vol.41Issue(7)：192-199,8.DOI:10.3969/j.issn.1000-386x.2024.07.029
基于FREAK算符及双向最近汉明距的非理想虹膜识别算法
NON-IDEAL IRIS RECOGNTION ALGORITHM BASED ON FREAK OPERATOR AND BIDIRECTIONAL CLOSEST HAMMING DISTANCE
季毕胜 1叶学义 1廖奕艺 1邹茹梦1
作者信息
- 1. 杭州电子科技大学通信工程学院 浙江杭州 310018
- 折叠
摘要
Abstract
Aimed at the significant degradation of non-ideal iris recognition performance under low-constraint conditions,and the low real-time performance of scale invariant feature transform(SIFT)and speeded up robust feature(SURF)methods,a recognition algorithm based on FREAK operator and bidirectional nearest Hamming distance is proposed.A Gaussian kernel was used to construct a multi-scale feature point detection operator to extract a robust set of feature points,and the FREAK operator was introduced to improve the SIFT operator to enhance the characterization and matching speed of feature points.The bidirectional closest Hamming distance matching strategy was used to enhance the stability of feature matching pairs so as to reduce the number of mismatched points of non-homologous irises.The experimental results show that the recognition error rate and the correct recognition rate are improved and the recognition time for a single verification is about 0.3s.The proposed method can effectively cope with the texture quality changes in non-ideal iris classes and has better real-time ability compared with SIFT and SURF algorithms.关键词
非理想虹膜识别/多尺度检测/FREAK算符/双向汉明距/实时性Key words
Non-ideal iris recognition/Multi-scale detection/FREAK operator/Bidirectional nearest hamming distance/Real-time ability分类
信息技术与安全科学引用本文复制引用
季毕胜,叶学义,廖奕艺,邹茹梦..基于FREAK算符及双向最近汉明距的非理想虹膜识别算法[J].计算机应用与软件,2024,41(7):192-199,8.
