Biometrics Verification Using Dynamic and Static Eye Shapes

We propose the new biometric verification system using human blinking. The biometric verification system adopts the multimodal method which is based on the size change of blackeye area as a dynamic biometric verification and Gabor wavelet coefficients of four feature points around blackeye area as a static biometric verification. By the computer simulation, 9.74% EER for the dynamic biometrics is obtained by considering both variance and offset of the training data and 5.28 % EER for the static biometrics is obtained by using the 2-paired symmetric feature points. This paper explains the method of multimodal biometric verification system using human blinking and verifies its effectiveness