A Framework Based On Hybrid Biometrics for Personal Verification System
Biometric systems automatically recognize individuals based on their physiological and behavioral characteristics. Soft biometric traits like gender, age, height can not provide reliable user recognition because they are not distinctive and permanent. Although, soft biometric characteristics lack permanence to identify an individual uniquely and reliably, they provide some evidence about the user identity that could be beneficial. However, such ancillary information can complement the identity information provided by the primary biometric traits. The authors propose a framework for integrating the soft biometrics with finger/hand geometry that improves the personal verification system. In the proposed framework, first the soft biometric trait such as weight is matched.