Image Quality Assessment for Fake Biometric Detection: Application to Iris, Fingerprint, and Face Recognition
K. Vasantha1, J. Ravichander2

1K. Vasantha, M.Tech Student, Department of ECE, S.R. Engineering College, Warangal (Telangana), India.
2J. Ravichander, Associate Professor, Department of ECE, S.R. Engineering College, Warangal (Telangana), India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 27 June 2019 | Manuscript Published on 04 July 2019 | PP: 63-67 | Volume-8 Issue-1S4 June 2019 | Retrieval Number: A10120681S419/2019©BEIESP
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Abstract: To guarantee the real proximity of actual trait as opposed a faux self-created designed or duplicated look into a significant trouble in biometric test, calls for progression of later and successful security efforts. On this paper, blessing a singular programming on fake notoriety approach that can be related in numerous biometric systems separate special varieties of false encourage segment to efforts. The goal of proposed shape is to improve the safety of biometric affirmation works, by approach for complete of liveness evaluation in a concise, simple to apply, and non-meddling approach, the usage of picture quality examination. The suggested approach presentations a little level of multifaceted nature, which appropriates for progressing programs, utilising 25 in fashion image nice functions detached from one photo (i.e., the equal secured for confirmation capacities) to realize true and impostor value determinations. Then take a look at consequences, got on audaciously accessible enlightening accumulations of finger print, iris, and 2nd cross up against, discovers that the proposed methodology is strikingly targeted differentiated and other decreasing function structures and that the check of the overall photograph nature of actual biometric exams reveals substantially simple insights this is most possibly used to element them from faux attributes.
Keywords: Image Quality Assessment, Biometrics, Security, Attacks, Counter Measures.
Scope of the Article: Image Processing and Pattern Recognition