Finger vein pattern learning models and techniques — A study

In today's world of ultra-security era finger vein pattern (FVP) learning plays an important role for authentication and validation. In this paper, a structural and linear approach is studied on various techniques and algorithms for finger vein matching and processing. Finger vein patterns are unique and has accuracy rate of 0.35% matching compared to similarity ratio and hence various authentication algorithms are proposed and studied with the agenda of spoofing ratio. In this paper, a survey is documented with a protocol is proposed under linear methodical approach.