UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 3
March-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2103083


Registration ID:
306724

Page Number

592-598

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Title

A Multi Model Biometric System Based On Features Fusion Method For Secure Entrance System

Abstract

Multi biometric system used to enhanced accuracy of the authentication process and also reduce error rates. Person identification required in many systems such as area-access control, PC login, e-commerce etc. The biometric system is most probably used for security purpose. Uni modal biometric and multimodal biometric are the two frameworks of biometric systems. A single biometric trait is used in uni modal system, where more than one biometric traits are used in multimodal system. Multimodal framework is more precise as contrast with uni modal biometric framework. During this proposed work discuss the various sort of biometric systems i.e., uni modal and multimodal. Conjointly discuss the comparison of various previous modal in biometric system and its comparative analysis. The comparison of receptive technique relies on multi modal system. In day to day the demand of biometric system will increase. Drawbacks are also shown of uni modal system, that why demand of multimodal is additionally will increase. During this analysis work principally discuss the uni modal and multimodal based mostly previous work. In proposed multi biometric system two traits are combined such as fingerprint, iris. The standard database is used to evaluate the proposed system. Various features are taken from every trait by using different features extraction algorithms. Matching score of these extracted features are calculated separately. These individual scores are combines together by using weighted fusion technique. As per the observation 96 % accuracy is achieved, which overcome the limitations of present system.

Key Words

Multi-modal Bio-metrics, Weighted Score Level Fusion, Minutia Point and Extraction Algorithm.

Cite This Article

"A Multi Model Biometric System Based On Features Fusion Method For Secure Entrance System ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 3, page no.592-598, March-2021, Available :http://www.jetir.org/papers/JETIR2103083.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A Multi Model Biometric System Based On Features Fusion Method For Secure Entrance System ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 3, page no. pp592-598, March-2021, Available at : http://www.jetir.org/papers/JETIR2103083.pdf

Publication Details

Published Paper ID: JETIR2103083
Registration ID: 306724
Published In: Volume 8 | Issue 3 | Year March-2021
DOI (Digital Object Identifier):
Page No: 592-598
Country: Bhopal, near Aapurti Mall, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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