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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Improved quality of image for fake biometric detection with various applications |
| Authors Name: | Payal R.Patil , Malvika U. Saraf |
| Unique Id: | IJSDR1609010 |
| Published In: | Volume 1 Issue 9, September-2016 |
| Abstract: | 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. |
| Keywords: | Multi-biometric system,Image quality Assessment, Kalman filter,Full-reference IQA, NO-reference IQA |
| Cite Article: | "Improved quality of image for fake biometric detection with various applications", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 9, page no.57 - 65, September-2016, Available :http://www.ijsdr.org/papers/IJSDR1609010.pdf |
| Downloads: | 000337063 |
| Publication Details: | Published Paper ID: IJSDR1609010 Registration ID:160735 Published In: Volume 1 Issue 9, September-2016 DOI (Digital Object Identifier): Page No: 57 - 65 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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