Research Article
A Review Paper on Multimodal Biometrics System using Fingerprint and Signature
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 128 - Issue 15 |
| Published: October 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 },
year = { 2015 },
volume = { 128 },
number = { 15 },
pages = { 1-8 },
doi = { 10.5120/ijca2015906041 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%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%T
%J International Journal of Computer Applications
%V 128
%N 15
%P 1-8
%R 10.5120/ijca2015906041
%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
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- wuzhilli(Vincent AT comp.hkbu.ed.u.hk) OEW 801, Hong Kong Baptist University.
- 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.
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- International Journal of IT, Engineering and Applied SciencesResearch (IJIEASR) Volume 2, No. 1, January 2013 SignatureRecognition & Verification System Using Back PropagationNeural Network.
- 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.
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