CASIA OpenIR  > 09年以前成果
An iris recognition algorithm using local extreme points
Cui, JL; Wang, YH; Tan, TN; Ma, L; Sun, ZN; Zhang, D; Jain, AK
2004
发表期刊BIOMETRIC AUTHENTICATION, PROCEEDINGS
卷号3072页码:442-449
文章类型Article
摘要The performance of an iris recognition algorithm depends greatly on its classification ability as well as speed. In this paper, an iris recognition algorithm using local extreme points is proposed. It first detects the local extreme points along the angular direction as key points. Then, the sample vector along the angular direction is encoded into a binary feature vector according to the surface trend (gradient) characterized by the local extreme points. Finally, the Hamming distance between two iris patterns is calculated to make a decision. Extensive experimental results show the high performance of the proposed method in terms of accuracy and speed.
WOS标题词Science & Technology ; Technology
收录类别ISTP ; SCI
语种英语
WOS研究方向Computer Science ; Imaging Science & Photographic Technology
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods ; Imaging Science & Photographic Technology
WOS记录号WOS:000222868800061
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/8931
专题09年以前成果
作者单位Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Ctr Biometr Authenticat & Testing, Beijing 100080, Peoples R China
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GB/T 7714
Cui, JL,Wang, YH,Tan, TN,et al. An iris recognition algorithm using local extreme points[J]. BIOMETRIC AUTHENTICATION, PROCEEDINGS,2004,3072:442-449.
APA Cui, JL.,Wang, YH.,Tan, TN.,Ma, L.,Sun, ZN.,...&Jain, AK.(2004).An iris recognition algorithm using local extreme points.BIOMETRIC AUTHENTICATION, PROCEEDINGS,3072,442-449.
MLA Cui, JL,et al."An iris recognition algorithm using local extreme points".BIOMETRIC AUTHENTICATION, PROCEEDINGS 3072(2004):442-449.
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