首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于虹膜的身份识别技术
引用本文:沈怡,傅德胜.基于虹膜的身份识别技术[J].南京气象学院学报,2003,26(3):402-407.
作者姓名:沈怡  傅德胜
作者单位:南京气象学院,计算机科学与技术系,江苏,南京,210044
基金项目:江苏省高校自然科学研究项目 ( 0 2 KSD52 0 0 0 5)
摘    要:虹膜识别是近年来新兴的生物识别方法,它以其简单的算法、快速的识别和极低的错误识别率逐渐应用到一些重要领域。对虹膜识别的Daugman算法进行了以下改进:积分微分算子结合梯度分解哈夫变换来定位虹膜,利用多通Gabor滤波提取虹膜特征。有效地克服了Daugman算法中非散射人工光源引起的亮点效应,增强了虹膜识别的实用性和适应性.

关 键 词:身份识别  生物识别  虹膜识别  模式识别  Gabor滤波  梯度分解变换
文章编号:1000-2022(2003)03-0402-06
修稿时间:2002年9月3日

Identification Recognition Technique Based on Iris
SHEN Yi,FU De-sheng.Identification Recognition Technique Based on Iris[J].Journal of Nanjing Institute of Meteorology,2003,26(3):402-407.
Authors:SHEN Yi  FU De-sheng
Abstract:The biometric authentication technique based on the pattern of a personal iris is to be applied to any access control system requiring a high level of security due to its simple algorithms,fast recognition and low rate of false recognition.The Daugman algorithms used to recognize iris are improved in the following two aspects:1) The iris is located by the combination of Gradient-Decomposed Hough Transform with Integro-Differential Operators:and 2) Characteristics of iris images can be collected by means of a multi-channel gabor filter,which have effectively solved the problem of a bright point effect aroused from non-scattered man-made light in the Daugman algorithms and thus enhanced the usefulness and adaptability of iris recognition.
Keywords:identity recognition  iris technology  gabor filter  gradient-decomposed Hough transform
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号