Integrated Anthropometric Approach for Ceaseless Authentication

Objectives: To model a novel ceaseless client validation method to authorize the client regardless of their body position before the capturing system. The system ceaselessly validates the client with their various soft anthropometric parameters such as (e.g. wearables and skin) in addition to hard biometrics. Methods/Statistical Analysis: The proposed system mechanically stores in the soft anthropometric parameters each time the client logs in and integrate the anthropometric parametric features along with the conventional face traits for verification thus fusing the combination of hard and soft biometric attributes to attest a client ceaselessly. The methodology comprises of various modes such as initialization, validation and regeneration. Findings: Various samples of facial colour features and user’s cloth colour features are used as soft biometrics in this system for authorization. The experimental results of AR show the extensive improvement over the existing methods. Application/Improvements: This methodology eliminates the challenges faced in face recognition due to different expressions and postures, lighting effects. Thus the key discriminating features are authenticated using hard and soft biometrics thus making it a high secure technology.