Advances in Computing Applications by Amlan Chakrabarti Neha Sharma & Valentina Emilia Balas

Author:Amlan Chakrabarti, Neha Sharma & Valentina Emilia Balas
Language: eng
Format: epub
Publisher: Springer Singapore, Singapore

Keywords

BiometricsUnimodalMultimodalFusionMultibiometric system

9.1 Introduction

For today’s scenario, security is major concern. A high-level industry uses biometric authentication systems established on evidence of individual source of information called unimodal systems [1], which make use of physiological characteristics such as iris, ear, fingerprint, face, teeth, retina, palm print, veins or signature, voice and gait. as behavioral characteristics [2, 3]. Each biometric has its own strength and weakness in terms of accuracy, user acceptance and applicability, and accordingly each biometrics is used in authentication application. The advantage of the present biometric system is that it does not change, gets stolen and misplaced. In real-world application, none of the individual biometric system is anticipated to effectively meet all requirements after deploying. Variety of problems occurs in unimodal biometric system like [4].(a)Noisy sensor data: for example voice sample altered by cold or fingerprint with a scar. Due to ambient condition, defective or improperly maintained sensor or noisy data lead to inaccurate matching or false rejection.

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