User identification based on finger-vein patterns for consumer electronics devices

With the development of consumer electronics technologies, many more powerful consumer devices such as cell phone, PDA and laptop have brought consumers an unprecedented level of convenience and flexibility. However, how to protect personal private information stored in the consumer electronics devices from misuses owing to theft or loss is becoming a major issue. To solve the problem, more secure and reliable user identification mechanisms using biometrics technology should be equipped into the consumer electronics devices. This paper presents a user identification system framework using finger-vein technology for consumer electronics devices. The finger-vein identification system is one of the biometrics sensor technologies, which provides high security and reliability than other identification technology. The algorithm of the proposed system compose a feature extraction using Radon transform and singular value decomposition (SVD) and classification using a normalized distance measure. The experimental results indicate that the proposed system performs well for user identification and achieves good performance in terms of the false acceptance rate (FAR) and the false rejection rate (FRR)