INTERNATIONAL JOURNAL OF INNOVATIONS IN APPLIED SCIENCES & ENGINEERING

International Peer Reviewed (Refereed), Open Access Research Journal

(By Aryavart International University, India)

E-ISSN:2454-9258 | P-ISSN:2454-809X | Estd Year: 2015

Impact Factor(2020): 4.805 | Impact Factor(2021): 5.246

ABSTRACT


USING UNIMODAL FRAMEWORK WITH BIOMETRIC CLASSIFICATION TO ENHANCE MULTI-MODEL SECURITY SYSTEM

Hardik Chaudhary

Vol. 6, Jan-Dec 2020

Page Number: 009-017

Abstract:

The usage of Biometric devices nowadays is very common in every field. It helps to identify the persons by their behavioural or physiological features. Multi biometric system has their advantage due to high accuracy of matching, increasing population coverage, deleting spoofing attacks and imparting fault tolerance to biometric applications. The unimodal framework depends on the proof of a solitary wellspring of data while multi-biometric frameworks if merge various wellsprings of biometric proof. The reconciliation of proof is known as a combination. In a multi biometric framework, the wellspring of biometric data utilized different biometric characteristics that can be discussed in this paper.

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