Improved quality of image for fake biometric detection with various applications

Payal R.Patil , Malvika U. Saraf

Multi-biometric system,Image quality Assessment, Kalman filter,Full-reference IQA, NO-reference IQA

Biometric authentication is the best security system in developing security world. But recent year, hackers made a fake biometric in easy way, so it reduces the security level of the system. Biometric security system is hacked by using two types of attack, direct and indirect attack.so there is a need to develop a new and efficient protection measure. So In this Paper, we have proposed an Image Quality Assessment (IQA) technique play an important role in the performance of biometric system involving face, Eye, Fingerprint and Signature image recognition are used to detect whether the image is real or fake. If the image is real, it checks whether the image belongs to an real image or not, out of the four biometric techniques. We propose a novel algorithm for the identification of image i.e. Kalman Filter. Kalman Filter allows filtering out Noise and combining different measurements to compute an answer. Image quality assessment (IQA) method is suitable for real time application which has been used for very low complexity used in general image.

Published Paper   E-Certificate

"Improved quality of image for fake biometric detection with various applications", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 9, page no.57 - 65, September-2016, Available :https://ijsdr.org/papers/IJSDR1609010.pdf

Volume 1 Issue 9, September-2016

Pages : 57 - 65

Paper Reg. ID: IJSDR_160735

Published Paper Id: IJSDR1609010

Downloads: 000347077

Research Area: Engineering

Country: Nagpur, Maharashtra, india

Published Paper PDF: https://ijsdr.org/papers/IJSDR1609010

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1609010

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition