A Multi-Biometric System Mash-up of Amalgamated Fusion Schemeand Image Pre-processing Using WFI-CLAHE

  • Ms. N. P. Shiju, Dr. D. Kannan

Abstract

Fingerprint, Retina and Iris based Unimodal biometrics contributes a lot in today’s information security and unique identification for the process of user authentication in variousdomains in which the individuality of human beings has to be ensured.However Unimodal systems are not perfectwhen deployed to real-world applications due to non-idealconditions such as off-angle gaze, illumination, occlusion andvariation in posing. These limitations have led to an increase ofresearch in multimodal biometrics. In recent times, researchers haveworked on multimodal biometrics by combining Unimodal templates with different methodswith each having to compensate for the shortcomings of theUnimodal systems. In this work present a mash-up biometric recognition strategy that incorporates a new dynamic clip-value based image pre-processing technique (WFI-CLAHE) with a novelamalgamated fusionstrategy which employs decision level fusion rules to combine three classifiers based on feature andscore level fusion. Here, comparethe recognition rate of the proposed method with other existing fusionmethods in use.It is shown that the multimodal biometric system based on the proposed mashed-up new pre-processing with a novel amalgamated fusion scheme provides the best performance. The proposed have obtained a recognition accuracyof 99.75%.

Published
2021-10-16
How to Cite
Ms. N. P. Shiju, Dr. D. Kannan. (2021). A Multi-Biometric System Mash-up of Amalgamated Fusion Schemeand Image Pre-processing Using WFI-CLAHE. Design Engineering, 5002-5015. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/5453
Section
Articles