Easari Parusha Ramu, M. RUTHIKA GOUD, M. DIVYA, V. RAVI KUMAR, D. KEERTHI 03 3(1) In biometric authentication systems distinguishing between genuine traits and fake or artificially generated samples is a critical challenge requiring the development of effective security mechanisms This paper presents a novel softwarebased fake detection approach that can be applied across multiple biometric systems to identify fraudulent access attempts The primary goal of the proposed system is to improve the security of biometric recognition frameworks by incorporating liveness detection in a fast userfriendly and nonintrusive manner using image quality assessment techniques The method is designed with low computational complexity making it suitable for realtime applications It utilizes 25 general image quality features extracted from a single captured imagethe same image used for authenticationto differentiate between genuine and fake samples Experimental results on publicly available datasets including fingerprint iris and 2D face images demonstrate that the proposed method performs competitively compared to existing stateoftheart techniques The study highlights that analyzing general image quality provides valuable information enabling efficient and accurate discrimination between authentic biometric traits and spoofed samples Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026