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To ensure the actual occurrence of a real reasonable feature in contrast to a fake self manufactured synthetic or reconstructed sample is a significant problem in biometric confirmation, which requires the development of new and efficient protection procedures. In this paper, we present a novel software-based fake detection method that can be used in multiple biometric systems to detect different types of deceitful access attempts. The objective of the proposed system is to enrich the security of biometric appreciation frameworks, by adding live ness assessment in a fast, user-friendly, and non-intrusive manner, through the use of image worth assessment. The proposed approach presents a very low degree of difficulty, which makes it suitable for real-time applications, using 25 general image quality structures extracted from one image (i.e., the same acquired for authentication purposes) to distinguish between appropriate and impostor samples. The investigational results, obtained on publicly available data sets of fingerprint, iris, and 2D face, show that the proposed method is highly economical compared with other state-of-the-art attitudes and that the analysis of the common image quality of real biometric samples reveals highly valuable evidence that may be very efficiently used to distinguish them from fake traits

FAKE IRIS - BIOMETRIC IDENTIFICATION BY FUTURISTIC COMPONENT BASED FAKE DETECTION USING UNUSAL APPROACH OVER SUPPLY VECTOR MACHINE