Image Superiority Calculation Meant for Biometric Fake Detection Approach of Fingerprint

In this work study about the biometric security systems and how fake image differentiate with real image. In this review paper represent a method of fake detection that is a novel software-based method which is used for numerous biometric systems to identify various categories of fraud access attempts and also explained about quality assessment and attacks and method to overcome. Image Quality Analysis for Liveness Detection is based on the premise that: it is obvious that a fake image considered for an attack attempt would have a different quality than a true image having a standard scenario of options for which the sensor has been designed. In order to ensure the true presence of genuine legitimate biometric features in the picture as opposed to a fake or self-made synthetic or replicated sample, there is a significant problem in the field of biometric authentication, which involves the development of novel and efficient security considerations. The purpose of this review paper is to research liveness evaluation in an individual-friendly manner, easily with the use of image quality calculations.