Fake Biometric Detection using Image Quality Assessment for Enhancement of Security

To ensure that the object presented in front of biometric device is real or reconstructed sample is a significant problem in biometric authentication, which requires the development of new and efficient protection measures. This paper, presents a software-based fake biometric detection method that can be used in multiple biometric systems to detect different types of fraudulent access attempts. The objective of the proposed system is to enhance the security of biometric recognition devices through the use of image quality assessment in a fast and user friendly manner. The proposed approach presents a very low degree of complexity, which makes it suitable for real-time applications, using 25 general image quality features extracted from one image to distinguish between real and imposed samples. The proposed method is highly competitive compared with other as the analysis of the general image quality of real biometric samples reveals highly valuable information that may be very efficiently used to discriminate them from fake traits.