Finger vein recognition using weighted local binary pattern code based on a support vector machine

Journal of Zhejiang University: Science C

Volumn 11, Issue 7, 2010, Pages 514-524

  Lee, Hyeon Chang ^a   Kang, Byung Jun ^b   Lee, Eui Chul ^c   Park, Kang Ryoung ^a  

^a Dongguk University   (South Korea)

^b Electronics and Telecommunications Research Institute (ETRI)   (South Korea)

^c National Institute for Mathematical Sciences   (South Korea)

Author keywords

Finger vein recognition; Local binary pattern (LBP); Support vector machine (SVM); Weight

Indexed keywords

BIOMETRIC TECHNIQUES; CONVENTIONAL METHODS; EQUAL ERROR RATE; FINGER VEIN; IDENTIFICATION METHOD; LOCAL BINARY PATTERNS; OPTIMAL WEIGHT; PROCESSING TIME; RAPID PROCESSING; SVM CLASSIFIERS; VASCULAR PATTERNS; VEIN PATTERN;

BIOMETRICS; SUPPORT VECTOR MACHINES; VECTORS;

CONTENT BASED RETRIEVAL;

EID: 77954491155     PISSN: 18691951     EISSN: 1869196X     Source Type: Journal    
DOI: 10.1631/jzus.C0910550     Document Type: Article

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