Abstract

The need for biometrics is rising with an increased need for security in every organization of the world. Every attribute, fingerprint, iris, knuckle print, face, palm print, is unique to an individual and can aid in recognition. Unimodal biometric systems involve the use of a single biometric attribute for identification. However, with the rise of duping, there is a requirement for constructing an efficient system using multiple biometric attributes. In multimodal systems, fusion of various biometric identities into a single vector is done using algorithms. This paper covers several different techniques used for biometric authentication. These use varying numbers of attributes. Our future project focuses on the research of different techniques of multimodal recognition in order to devise a technique that is robust and has an increased efficiency in recognition and identification.

Details

Title
MULTIMODAL BIOMETRIC SYSTEMS: A REVIEW
Author
Thadeshwar, Aarvi; Patel, Sanyamee; Patel, Dhruvi; Chaturvedi, Ratnesh
Pages
361-365
Publication year
2018
Publication date
Mar 2018
Publisher
International Journal of Advanced Research in Computer Science
e-ISSN
09765697
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2101239885
Copyright
© Mar 2018. This work is published under https://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.