Spoofing Protection for Biometric Systems
Author(s):
Ms.ALEENA.T.A , Thejus Engineering College; Ms.Chithra.k, Thejus Engineering College; Mr.Rahul Ramachandran, Thejus Engineering College
Keywords:
Biometrics, Feed forward neural network, Gaussian, Image quality assessment, Spoofing
Abstract:
A biometric system is a computer system used to identify people based on their behavioral and physiological characteristics. In such kinds of systems, the security is still a question mark because of various types of intruders and attacks. This problem can be solved by improving the security using some efficient algorithms available. This paper introduces a novel software-based fake detection method that can be used in multiple biometric systems (fingerprint, iris, face, palm print) to detect different types of fraudulent access attempts through the use of image quality assessment. The proposed approach uses 25 general image quality features extracted from a single image to distinguish between real and fake samples. The system proves to be efficient for the protection against different spoofing attacks.
Other Details:
| Manuscript Id | : | IJSTEV1I10150
|
| Published in | : | Volume : 1, Issue : 10
|
| Publication Date | : | 01/05/2015
|
| Page(s) | : | 299-302
|
Download Article
