Title: Biometric security system: a rigorous review of unimodal and multimodal biometrics techniques

Authors: Ujwalla Gawande; Yogesh Golhar

Addresses: Department of Information Technology, Yeshwantrao Chavan College of Engineering, Hingna Road, Wanadongri, Nagpur, Maharashtra, 441110, India ' Department of Computer Science and Engineering, G.H. Raisoni Institute of Engineering and Technology for Women, Shradha Park, B-37/39, MIDC, Hingna road, Nagpur, Maharashtra, 440016, India

Abstract: Biometric-based system is used for authentication of an individual and to counter the possible threats used for security purpose. A wide variety of systems require reliable personal authentication schemes to either confirm or determine the identity of individuals requesting their services. Typical scenarios are access control and authentication transaction. Examples of such systems are automatic teller machines (ATMs), criminal verification, national unique identifications, border crossing, airports, cellular phones, etc. In the absence of robust authentication schemes, these systems are vulnerable to the wiles of an impostor. The purpose of such schemes is to ensure that the rendered services are accessed by the legitimate user, and not anyone else. Many researchers developed biometric-based system despite that each system has its own limitations. The main aim of this paper is to give a qualitative and computational analysis of existing biometric-based system and describes various unimodal and multimodal systems.

Keywords: multimodal biometrics; unimodal biometric; feature fusion; classification; identification; recognition; texture; error rate; neural network; biometric system.

DOI: 10.1504/IJBM.2018.091629

International Journal of Biometrics, 2018 Vol.10 No.2, pp.142 - 175

Received: 28 Oct 2017
Accepted: 28 Jan 2018

Published online: 08 May 2018 *

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