Image Quality Assessment for Fake Biometric Detection

To ensure the actual presence of a real rightful trait in difference to a fake self-manufactured synthetic or reconstructed sample is a significant trouble in biometric verification, which requires the development of new and efficient protection measures. Background to fingerprint recognition describes the biometric use of fingerprints scanning is also done by biometric technologies. The objective of proposed system is to enhance the security of biometric recognition frameworks, by adding liveness assessment in a fast, user friendly and non-intrusive manner, through the use of image quality assessment. The experimental results, obtained on publically available data sets of fingerprints, iris, and 2D face. Collection Variables:Physical variations during biometric collection that may change the capacity. Translation or scaling or rotation usually compensated in software. Can the device detect that the subject is live?Fake face recognition with a photograph? Or a rubber print image (fingerprint)? Or a glass eye (iris encoding)?