CASIA OpenIR  > 09年以前成果
Graph matching iris image blocks with local binary pattern
Sun, ZN; Tan, TN; Qiu, XC; Zhang, D; Jain, AK
AbstractIris-based personal identification has attracted much attention in recent years. Almost all the state-of-the-art iris recognition algorithms are based on statistical classifier and local image features, which are noise sensitive and hardly to deliver perfect recognition performance. In this paper, we propose a novel iris recognition method, using the histogram of local binary pattern for global iris texture representation and graph matching for structural classification. The objective of our idea is to complement the state-of-the-art methods with orthogonal features and classifier. In the texture-rich iris image database UPOL, our method achieves higher discriminability than state-of-the-art approaches. But our algorithm does not perform well in the CASIA database whose images are less textured. Then the value of our work is demonstrated by providing complementary information to the state-of-the-art iris recognition systems. After simple fusion with our method, the equal error rate of Daugman's algorithm could be halved.
WOS HeadingsScience & Technology ; Technology
Indexed ByISTP ; SCI
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000235768300049
Citation statistics
Cited Times:15[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
AffiliationChinese Acad Sci, Inst Automat, Ctr Biometr & Secur Res, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Sun, ZN,Tan, TN,Qiu, XC,et al. Graph matching iris image blocks with local binary pattern[J]. ADVANCES IN BIOMETRICS, PROCEEDINGS,2006,3832:366-372.
APA Sun, ZN,Tan, TN,Qiu, XC,Zhang, D,&Jain, AK.(2006).Graph matching iris image blocks with local binary pattern.ADVANCES IN BIOMETRICS, PROCEEDINGS,3832,366-372.
MLA Sun, ZN,et al."Graph matching iris image blocks with local binary pattern".ADVANCES IN BIOMETRICS, PROCEEDINGS 3832(2006):366-372.
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