Abstract

In today's networked world, the necessity for highly secured frameworks is increasing due to a surge in offences such as PC hacking, unauthorised access to ATMs and mobile devices, and security breaches in government institutions. Criminals exploit basic vulnerabilities in existing security systems. In response to these security problems, a biometric recognition framework is utilised to identify individuals using distinctive and singular evidence. Individual biometrics cannot be compromised as readily as a password. A multi-modal framework can integrate any number of free biometrics, making any biometric system significantly more effective than if it relied on a single biometric user verification device. A approach of gradually converging biometric modalities is included into combination techniques. This study describes the integration of three biometric characteristics, namely iris, face, and palm prints, at matching score level architecture employing weighted sum of score technique and fingerprint identification based on minutiae extraction approach.