An Enhanced Biometric System using Palm Images

Palm vein authentication is a new and latest biometric method utilizing the vein patterns inside one�s palm for personal identity verification. Palm patterns are different for each person and as they are hidden underneath the skin�s surface, forgery is extremely difficult. Infrared light is used to capture an image of a palm that shows the vein patterns, which have various widths and brightness that change temporally as a result of fluctuations in the amount of blood in the vein, depending on temperature, physical conditions, etc. To robustly extract the precise details of the depicted veins, we developed a method of anisotropic technique in cross-sectional profiles of a vein image. This method can extract the centre lines of the veins consistently without being affected by the fluctuations in vein width and brightness, so its pattern matching is highly accurate. This paper discusses the origins, feature extraction, technology, and applications of palm vein authentication. The proposed system include: 1) Infrared palm images capture; 2) Detection of Region of Interest; 3) Palm vein extraction by Anisotropic filtering; 4) Matching. The experimental results demonstrate that the recognition rate using palm vein is good.