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A Review Paper on Multimodal Biometrics System using Fingerprint and Signature

by Sangramsing N. Kayte, Suvarnsing G. Bhable, Jaypalsing N. Kayte, Raju Maher
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 128 - Number 15
Year of Publication: 2015
Authors: Sangramsing N. Kayte, Suvarnsing G. Bhable, Jaypalsing N. Kayte, Raju Maher
10.5120/ijca2015906041

Sangramsing N. Kayte, Suvarnsing G. Bhable, Jaypalsing N. Kayte, Raju Maher . A Review Paper on Multimodal Biometrics System using Fingerprint and Signature. International Journal of Computer Applications. 128, 15 ( October 2015), 1-8. DOI=10.5120/ijca2015906041

@article{ 10.5120/ijca2015906041,
author = { Sangramsing N. Kayte, Suvarnsing G. Bhable, Jaypalsing N. Kayte, Raju Maher },
title = { A Review Paper on Multimodal Biometrics System using Fingerprint and Signature },
journal = { International Journal of Computer Applications },
issue_date = { October 2015 },
volume = { 128 },
number = { 15 },
month = { October },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume128/number15/22946-2015906041/ },
doi = { 10.5120/ijca2015906041 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:21:44.475966+05:30
%A Sangramsing N. Kayte
%A Suvarnsing G. Bhable
%A Jaypalsing N. Kayte
%A Raju Maher
%T A Review Paper on Multimodal Biometrics System using Fingerprint and Signature
%J International Journal of Computer Applications
%@ 0975-8887
%V 128
%N 15
%P 1-8
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A biometric system is important to a pattern recognition system that operates by acquiring biometric data from an individual, extracting a feature set from the acquired data, and comparing this feature set against the template set in the database. Multimodal biometric systems are becoming more popular; Fingerprint recognition is the most popular physiological characteristic used to identify a person in biometric systems, because of feasibility, permanence, distinctiveness, reliability, accuracy, and acceptability Signature recognition is the most popular behavioral characteristic used in biometric systems. Thus, we believe that the combination of these two methods will have a reliable and accurate result. We propose a weighted fusion scheme, which transforms the scores into a common range, assigned weights and combines them, giving the final fused score.

References
  1. A. Jain and A. Ross. Fingerprint mosaicking. In Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), volume 4, pages 4064{4067, Orlando, FL, May 2002.
  2. wuzhilli(Vincent AT comp.hkbu.ed.u.hk) OEW 801, Hong Kong Baptist University.
  3. Ranjan Jana et al, / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (1) , 2014, 707-710 Offline Signature Verification using Euclidian Distance.
  4. Berthold K. P. Horn, “Closed-form solution of absoluteorientation using unit quaternions,” Journal of the Optical Society of America, vol. 4, no. 4, pp. 629–642, April 1987.
  5. International Journal of IT, Engineering and Applied SciencesResearch (IJIEASR) Volume 2, No. 1, January 2013 SignatureRecognition & Verification System Using Back PropagationNeural Network.
  6. Md. Maruf Monwar and Marina Gavrilova “FES: A System for Combining Face, Ear and Signature Biometrics using Rank Level Fusion”. Fifth International Conference on Information Technology: New Generations.
Index Terms

Computer Science
Information Sciences

Keywords

Fingerprint Signature fusion image ICP algorithm Euclidean distance Fingerprint Signature fusion image ICP algorithm Euclidean distance.

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