Lip Pattern Recognition based on Local Feature Extraction

被引：0

作者：

Bakshi, Sambit ^{[1
]}

Raman, Rahul ^{[1
]}

Sa, Pankaj K. ^{[1
]}

机构：

[1] Natl Inst Technol Rourkela, Dept Comp Sci & Engn, Rourkela 769008, Odisha, India

来源：

2011 ANNUAL IEEE INDIA CONFERENCE (INDICON-2011): ENGINEERING SUSTAINABLE SOLUTIONS | 2011年

关键词：

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Lip is claimed to be a unique organ in human body and hence a candidate for being a biometric. The uniqueness of lip has been proven by the researchers by using color information and shape analysis. These measures of lip are unique for every person. This paper proposes that grayscale lip images constitute local features. The claim has been experimentally established by extracting local features from 23 grayscale lip images from 10 different subjects and measuring the accuracy of match. There are two techniques applied for extraction and matching of local features from lip, viz. SIFT and SURF. The accuracy turns out to be very high (>90%) in both the experiments conducted.

引用

页数：4

共 11 条

[1]

[Anonymous], 2007, HDB BIOMETRICS HDB B

[2]

Bay H., 2006, SURF: Speeded up robust features, V3951, P404

[3] The lip as a biometric [J].