%0 Journal Article
%T Hand Biometric Recognition Based on Fused Hand Geometry and Vascular Patterns
%A GiTae Park
%A Soowon Kim
%J Sensors
%D 2013
%I MDPI AG
%R 10.3390/s130302895
%X A hand biometric authentication method based on measurements of the user¡¯s hand geometry and vascular pattern is proposed. To acquire the hand geometry, the thickness of the side view of the hand, the K-curvature with a hand-shaped chain code, the lengths and angles of the finger valleys, and the lengths and profiles of the fingers were used, and for the vascular pattern, the direction-based vascular-pattern extraction method was used, and thus, a new multimodal biometric approach is proposed. The proposed multimodal biometric system uses only one image to extract the feature points. This system can be configured for low-cost devices. Our multimodal biometric-approach hand-geometry (the side view of the hand and the back of hand) and vascular-pattern recognition method performs at the score level. The results of our study showed that the equal error rate of the proposed system was 0.06%.
%K multimodal biometric
%K hand biometric
%K hand geometry
%K vascular-pattern recognition
%U http://www.mdpi.com/1424-8220/13/3/2895