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Development of a Multimodal Biometric Identification and Verification System using Two Fingerprints

by Neha Jain, S. K. Sharma, B. L. Pal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 74 - Number 12
Year of Publication: 2013
Authors: Neha Jain, S. K. Sharma, B. L. Pal
10.5120/12938-9968

Neha Jain, S. K. Sharma, B. L. Pal . Development of a Multimodal Biometric Identification and Verification System using Two Fingerprints. International Journal of Computer Applications. 74, 12 ( July 2013), 23-28. DOI=10.5120/12938-9968

@article{ 10.5120/12938-9968,
author = { Neha Jain, S. K. Sharma, B. L. Pal },
title = { Development of a Multimodal Biometric Identification and Verification System using Two Fingerprints },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 74 },
number = { 12 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 23-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume74/number12/12938-9968/ },
doi = { 10.5120/12938-9968 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:42:06.114865+05:30
%A Neha Jain
%A S. K. Sharma
%A B. L. Pal
%T Development of a Multimodal Biometric Identification and Verification System using Two Fingerprints
%J International Journal of Computer Applications
%@ 0975-8887
%V 74
%N 12
%P 23-28
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Fingerprint recognition is one of the research hotspots of biometrics techniques. Fingerprints are the most widely used biometric feature for identification and verification in the field of biometrics. [1]. The traditional fingerprint recognition systems have such disadvantages as high computation complexity, low speed, low recognition rate to uncompleted or defiled fingerprints, and not robust[2]. In this paper, we propose a multimodel fingerprint identification and verification method based on pattern recognition, which emphasizes global features of fingerprint. With lots of artificial fingerprint samples, the results show that the proposed method is effective, fast, robust and shows the Improvement in rate of false acceptance and false rejections. Experimental results are analyzed and a fingerprint recognition system is introduced.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Fingerprint classification Fingerprint identification techniques Minutiae extraction image enhancement

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