Abstract
The vein recognition is the most accurate and secure technology in the field of biometrics. We have seen that many criminal cases like risk of forgery or theft. All biometric traits have their own advantages and disadvantages. Like in long term, a person’s fingerprint may be damaged due to environment, aging or ethnicity; face recognition has medium accuracy; iris recognition is costly affair. To overcome all the problems, the solution is vein recognition. The most important point about vein recognition system is that it works on living persons only as the infrared radiation is absorbed by hemoglobin present in blood of living persons. The skin integrity does not affect the accuracy or readability of finger vein recognition. There are lots of benefits to include vein recognition in biometric traits in which some are, users are not required to get in physical contact with the device. This technology can also be used for medical purposes like children that are below the age of 12 have very smooth vein which sometime ca nnot be detected by doctors to inject injection which can be detected by NIR cameras. In this paper we have presented the various techniques of palm vein recognition that are applied in today’s scenario, Need and Scope of vein recognition system, its implementation challenges, its application, Merit and Demerit and finally conclusion.
Highlights
A STUDY OF VEIN RECOGNITION SYSTEMArticle History: Received 15 November 2018 Accepted 17 December 2018 Available online 8 February 2019
Vein recognition is the most accurate and reliable biometric system in the upcoming years
The veins are present underneath of the skin which is very special feature for personal identification. This system has many advantages over other biometric traits, some of them are: first, it is a contactless technology means the device that captures images of veins is not physically touch with the skin. It only works on the alive person means if the person is dead that means his/her vein is dead and nobody can use the vein biometric of another person for his/her counterfeit purpose
Summary
Article History: Received 15 November 2018 Accepted 17 December 2018 Available online 8 February 2019
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