Automated Finger Vein Identification and Imaging System for Mobile Using Biometrics Signature

Biometrics is used in computer science as a form of identification and access control. Biometric identifiers are often categorized as physiological versus behavioral characteristics. A physiological biometric would identify by one's voice, DNA, hand print or behavior. Behavioral biometrics is related to the behavior of a person typing rhythm, gait, and voice. Finger vein is a promising biometric pattern for personal identification and authentication in terms of its security and convenience. An analysis of different techniques for finger-vein feature extraction. Device for capturing finger-vein images, by ROI segmentation, and a novel method combining blanket dimension features and lacunarity features for recognition. Finger vein is a promising biometric pattern for personal identification and authentication in terms of its security and convenience. An analysis of different techniques for finger-vein feature extraction. Device for capturing finger-vein images, by ROI segmentation, and a novel method combining blanket dimension features and lacunarity features for recognition. The finger does not have to touch the sensor maintains the hygienic concerns and sensor life. There are two types of stages are enrolment stage and the verification stage. Both stages start with finger-vein image pre-processing, which includes detection of the region of interest (ROI), image segmentation, alignment, and enhancement.