PCA-Based Palm Vein Authentication System

Author

Bayoumi, Sahar ; Al-Zahrani, Sara ; Sheikh, Abdullah ; Al-Sebayel, Ghada ; Al-Magooshi, Sulaf ; Al-Sayigh, Sara

Author_Institution

Inf. Technol. Dept., King Saud Univ., Riyadh, Saudi Arabia

fYear

2013

fDate

24-26 June 2013

Firstpage

1

Lastpage

3

Abstract

In this paper we proposed a system for authentication using Palm Vein based on using principle component analysis (PCA) for feature extraction. Palm vein images of dorsa captured using infrared camera. PCA is applied to generate vector of features that represent the highest detailed variant information. A matching process is then applied to find the best match from the data base to recognize and authenticate the person. Experiments show that our system able to recognize human with accuracy 85% in real-time based on supervised recognition.

Keywords

cameras; feature extraction; image matching; infrared detectors; principal component analysis; vein recognition; PCA; feature extraction; features vector generation; human recognition; infrared camera; palm vein authentication system; palm vein image matching; principle component analysis; supervised pattern recognition; Authentication; Biometrics (access control); Educational institutions; Information technology; Principal component analysis; Training; Veins;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Applications (ICISA), 2013 International Conference on

Conference_Location

Suwon

Print_ISBN

978-1-4799-0602-4

Type

conf

DOI

10.1109/ICISA.2013.6579422

Filename

6579422