Finger Vein Recognition Based on (2D)2 PCA and Metric Learning. (20th May 2012)

• Record Type: Journal Article
• Authors: Yang, Gongping; Xi, Xiaoming; Yin, Yilong
• Other Names: Mohammed Sabah Academic Editor.
• Is Part Of: Journal of biomedicine and biotechnology. Volume 2012(2012)
• Publication Date: 2012-05-20
• Subjects: Medicine -- Periodicals; Biology -- Periodicals; Biotechnology -- Periodicals; Medicine; Biology; Biotechnology; Médecine; Biologie; Biotechnologie; Biology; Biotechnology; Medicine; Biotechnology; Biomedicine; Electronic journals; Periodical; Periodicals; Electronic journals; 610
• DOI: 10.1155/2012/324249
• Languages: English
• ISSNs: 1110-7243

Abstract

Abstract : Finger vein recognition is a promising biometric recognition technology, which verifies identities via the vein patterns in the fingers. In this paper, (2D) 2 PCA is applied to extract features of finger veins, based on which a new recognition method is proposed in conjunction with metric learning. It learns a KNN classifier for each individual, which is different from the traditional methods where a fixed threshold is employed for all individuals. Besides, the SMOTE technology is adopted to solve the class-imbalance problem. Our experiments show that the proposed method is effective by achieving a recognition rate of 99.17%.