Image Quality (IQ) based liveness detection system for multi-biometric detection

Biometric Systems gained attention in all over the world because of its reliability and user friendly approach. In contrast to these advantages, these biometric systems are highly fence less to fraudulent attacks via fake self manufactured, synthetic or reconstructed samples which is particular problem of biometrics. To ensure the security of biometric system, needs to develop a novel method which reduce the vulnerability. Here, we proposed a novel software based method based on liveness detection system to detect the real and fake samples by using Image Quality Assessment(IQA) for multiple biometric system achieving the objective enhancing the security level of biometric recognition framework. For experimental results, real and dummy database of fingerprint and face has been taken. From one image, 14 image quality measures has been determined which helps in distinguishing the real and fake samples. The proposed system is fast, user-friendly, provides high performance, non-invasive in nature and having low cost and highly competitive than other state of the art approaches. After analysis of the image quality of real and fake biometric samples, it conveys the valuable information which efficiently helps in distinguishes them from fake samples.