World Scientific Publishing Co. Pte Ltd;Singapore: World Scientific Publishing Company
摘要:
摘要： This paper presents a reliable and robust palmprint verification approach that involves using a bi-feature, biometric, palmprint feature-point number (FPN) and a histogram of oriented gradient (HOG). The bi-feature was fused and verified using a support vector machine (SVM) at the feature level. The approach has the advantages of capturing palm images in pegless scenarios with a low cost and low-resolution (100 dpi) digital scanner, and one sensor can capture palmprint bi-feature information. The low-resolution images result in a smaller database. Nine thousand palmprint images were collected from 300 people to verify the validity of the proposed approach. The results showed an accurate classification rate of 99.04%. The experimental results demonstrated that the proposed approach is feasible and effective in palmprint verification. Our findings will help extend palmprint verification technology to security access control systems. 出版者： Singapore: World Scientific Publishing Company 出版日期： 2013-08 出處： International journal of pattern recognition and artificial intelligence, 2013-08, Vol.27 (5), p.1356007-1-1356007-15 版權： 2013, World Scientific Publishing Company 版權： 2013. World Scientific Publishing Company 識別號： ISSN: 0218-0014 識別號： EISSN: 1793-6381 識別號： DOI: 10.1142/S0218001413560077
