Papers in Biometrics
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Paper Title
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Biometrics Verification Using Dynamic and Static Eye Shapes
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Abstract
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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
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Authors
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Ishikawa, K. Fujita, K. Hamamoto, T.
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Date
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12-15 Dec. 2006
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Publisher
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ieee conference
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