Fuzzy Analytic Hierarchy Process based Template Data Analysis of Multimodal Biometric Conceptual Designs
Arvind Selwal, Sunil Kumar Gupta, Surender Surender · Procedia Computer Science · 2016
The Biometric Systems are automatic tools, which are used to provide authentication during various applications of modern computing. Traditional methods of human recognition because of their limitations are being replaced by biometric applications. Fingerprint biometric system is one of the most widely used system while Hand geometry is comparatively less popular because of its few limitations. Multimodal biometric systems are developed to address few of the limitations of unibiometric systems and works on the principle of using more than one biometric trait for human recognition. In this paper, three conceptual designs for bimodal systems using two important modalities have been presented. A Template security analysis of all the designs is performed using Fuzzy based Analytic Hierarchy Process (FAHP) with five decision parameters. Result indicates that bimodal conceptual design-2 is optimal among all the three in terms of various decision parameters. Template may be well secured at feature level fusion of a multimodal biometric system and results into overall cost effective design. It is also noticed that template security before storage into database is an important parameter for effective and efficient design of a multimodal biometric system.