• Kanika Kapoor
• Dr. Vinay Chopra

In today’s society with the rapid growth in the field of computer and network technology, the identity verification is a critical key problem. Thus, the requirement for a better and more reliable approach for identity authentication becomes more significant. Since it is difficult to mislay, forge or share biometric identifiers, biometric recognition is more efficient and reliable than traditional passwords or PINs. Finger vein recognition technique has become the most preferred and novelist biometric method due to its low device constraint, low forgery risk, stability, aliveness detection and high anti counterfeit. A finger vein recognition consists of four main steps which include image acquisition, pre-processing, feature extraction, and matching. The matching technique is most crucial step of recognition to decide whether an input image is genuine or an imposter for one enrolled image, in which matching score is generated. A matching score measures the similarity between the enrolled template and the input image. This paper presents a detailed review on Finger Vein Recognition matching algorithms. Matching stage plays a vital role as only this stage involves analyzing the recognition performance which is the main criteria to measure the effectiveness of an algorithm. This paper presents the most recent research advancements in the recognition performance of Finger Vein Recognition. Various matching algorithms reviewed in this paper have the potential to enhance the recognition performance in a broad sense.

Biometric Recognition, Finger vein, Matching, Recognition performance.

"A Review on Finger Vein Recognition Matching Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.612-616, April-2019, Available :http://www.jetir.org/papers/JETIR1904596.pdf

"A Review on Finger Vein Recognition Matching Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp612-616, April-2019, Available at : http://www.jetir.org/papers/JETIR1904596.pdf