Application of an Array-structured Sensor and Modified Verification Algorithms to the Personal Authentication System using Tactile Information

Abstract

In recent years, security problems have been concerned in the well-developed information society. Although personal authentication methods such as password-systems and key-systems are used widely, various problems are pointed out. Therefore, biometric authentication which uses the information of physical or behavioral characteristics is becoming important technology as a personal authentication. In the present study, a new biometric authentication system using finger-friction is proposed. This system utilizes tactile information of which recording and playing technologies have not been established, in contrast to visual and auditory information. Moreover, it is using both physical characteristics related to the 3-D shapes of fingerprints and behavioral characteristics related to the way of rubbing. In the present system, an array-structured sensor generates 12-channel frictional signals which are distinctive to an individual when a subject rubs it with a finger. In the present paper, 100 samples of frictional signals are used for verification which is based on dynamic programming. As a result, improvements of verification algorithm make it possible to reduce False Rejection Rate (FRR) and False Acceptance Rate (FAR) to 1% and 0.05% respectively.