Fake Fingerprint Detection Approaches: A Systematic Review
Asraful Syifaa Ahmad1, Rohayanti Hassan2, Mohamad Nazir Ahmad3
1Asraful Syifaa Ahmad, Faculty of Computing, University Technology Malaysia, Johor Bharu, Malaysia.
2Rohayanti Hassan, Faculty of Computing, University Technology Malaysia, Johor Bharu, Malaysia.
3Mohamad Nazir Ahmad, Faculty of Computing, University Technology Malaysia, Johor Bharu, Malaysia.
Manuscript received on 03 February 2019 | Revised Manuscript received on 10 February 2019 | Manuscript Published on 22 March 2019 | PP: 1-8 | Volume-8 Issue-5S April 2019 | Retrieval Number: ES3385018319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Fake fingerprint detection refers to the recognition of a fingerprint image that was created by using a fake fingerprint. These situation are causes the most reliable biometric technology which is fingerprint recognition vulnerable. Therefore, this review presents a collection of the latest literature identified with the fake fingerprint detection and simply center around software-based methodologies. A systematic literature to assessed are performed by examining 146 essential investigations begin with the gross collection of 24 analyze about the papers to decide an scientific categorization, methodologies, on-line open database, and also drawbacks of the fake fingerprint. Besides, 14 techniques focusing in software-methodologies briefly described. Moreover, a few constraints on the fake finger-print images are uncovered and databases that usually utilized by researcher is distinguished. Thus, this review gives an outline of knowledge into the present comprehension of fake fingerprint detection acknowledgement other than distinguishing upcoming research prospects.
Keywords: Fake Fingerprint, Fingerprint Recognition, Liveness Detection, Liv Det Database, Systematic Literature Review.
Scope of the Article: Parallel Computing on GPU