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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM17214
Volume:
6 |
12 |
Dec 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Finger print scanners are widely used to provide security in various fields such as defence control, immigration and law enforcement , health and subsidies, business transactions, forensics for identifying criminal and prison security , Banking security, Physical access control, Information system security, customs and immigration , population, verification of voters identity etc ., Because of uniqueness of finger print image and ease of use, it is extensively used for security in biometric systems. Usage of these systems have grown steadily and used as an alternative to passwords, personal identification number(PIN), key and tokens . Though these systems are more user friendly and widely used for security , they are more vulnerable to be hoaxed with non live finger print images by skilled imposters . Fraudsters can take off someone’s identity or to obscure his own identity when they want to spoof biometric systems . Artificial fingerprints are created using low-cost hardware and software . Thus any secure biometric system must contain spoof detection module, which differentiates live and non live finger print images. Non live fingerprint detection techniques distinguishes between live and non live finger print images. Biometric authentication systems are now extensively used and non live fingerprint detection has become crucial.This article critically review the non live finger print detection methods and also effectiveness and possible limitations of these methods.
KEYWORDS
Publication Date
12/19/2022
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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