Finger vein Recognition

Abstract

Biometric systems are quickly replacing traditional password authentication solutions. Security and recognition accuracy are the two most important factors to consider when designing a biometric system. Biometric identification is the study of an individual’s physiological and behavioral features to solve security and identification challenges. Fingerprint biometrics have been used for a long time, but finger-vein image identification has lately gained traction as a potential biometric technique. Fingerprints have long been a widely accepted biometric for identification, but their flaws and vulnerability to spoofing prompted the development of finger vein biometrics, which were thought to be safer and more dependable. Finger vein recognition (FVR) is a technology in biometric that analyses the patterns of a person’s finger veins to authenticate their identity. This article evaluates all aspects of fingerprint and finger vein recognition (FVR), including image acquisition, pre-processing, feature extraction, and matching. An overview of fingerprint and finger vein biometric systems has been presented, along with some benefits and drawbacks. For the development of an auto fingerprint and finger vein identification system, it is critical to extract fingerprint minutiae. Deep learning and algorithms can both be utilized to determine the best ways for feature extraction for fingerprints and finger veins, which will improve the fusion to create a multimodal system.