Evaluation of Image Quality for False Biometric Identification: Utilizing Fingerprint, Iris, and Face Recognition

Abstract

One statistical method used in image processing to ascertain the authenticity of the biometric sample is called picture quality assessment. Enhancing the security of biometric recognition is the system's goal. The two different IQA measures are addressed by the suggested system. A major challenge in biometric authentication is ensuring the genuine presence of a justification trait as opposed to a fraudulently self-manufactured synthetic or reconstructed sample, necessitating the creation of innovative and effective security mechanisms. By using picture quality assessment to quickly, easily, and non-intrusively integrate liveness assessment, the suggested approach aims to improve the security of biometric recognition frameworks. Real-time applications can benefit from the suggested approach's extremely low degree of complexity.