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PSO Watermarking Model for Multimodal Biometric System

by S. Anu H Nair, P. Aruna
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 100 - Number 16
Year of Publication: 2014
Authors: S. Anu H Nair, P. Aruna
10.5120/17609-8281

S. Anu H Nair, P. Aruna . PSO Watermarking Model for Multimodal Biometric System. International Journal of Computer Applications. 100, 16 ( August 2014), 23-29. DOI=10.5120/17609-8281

@article{ 10.5120/17609-8281,
author = { S. Anu H Nair, P. Aruna },
title = { PSO Watermarking Model for Multimodal Biometric System },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 100 },
number = { 16 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 23-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume100/number16/17609-8281/ },
doi = { 10.5120/17609-8281 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:30:08.096523+05:30
%A S. Anu H Nair
%A P. Aruna
%T PSO Watermarking Model for Multimodal Biometric System
%J International Journal of Computer Applications
%@ 0975-8887
%V 100
%N 16
%P 23-29
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Multimodal Biometric Watermarking System using multiple sources of information for establishing the individuality has been widely recognized, computational models for multimodal biometrics recognition have only recently got attention. In this paper multimodal biometric images such as fingerprint, palmprint, and iris are extracted individually and are fused together using Average, Minimum and Maximum fusion mechanism. The fused template is then watermarked using the PSO watermarking system. The biometric features used here are fingerprint, iris and palmprint. The image quality is measured by using various metrics such as Peak Signal Noise ratio(PSNR), Normalized Absolute Error(NAE) and Normalized Cross Correlation(NCC). CASIA database is chosen for the biometric images. All the images are 8 bit gray-level JPEG image with the resolution of 320*280.

References
  1. Jing-Ming Guo, Yun-Fu Liu, Jla-Yu Chang, Jiann-Der Lee, "Fingerprint classification based on decision tree from singular points and orientation field ", Elsevier, 2014.
  2. Kai Cao, Liaojun Pang, Jimin Liang, Jie Tia, "Fingerprint classification by a hierarchical classifier", Elsevier, 2013.
  3. Ayman Mohammad Bahaa-Eldin, "A medium resolution fingerprint matching system", Elsevier, 2013.
  4. Kamlesh Tiwari, Devendra K. Arya, G. S. Badrinath, Phalguni Gupta, "Designing palmprint based recognition system using local structure tensor and force field transformation for human identification", Elsevier, 2013.
  5. Xiumei Guo, Weidong Zhou, Yu Wang, "Palmprint recognition algorithm with horizontally expanded blanket dimension", Elsevier, 2014.
  6. Feng Yue, Wangmeng Zuo, "Consistency analysis on orientation features for fast and accurate palmprint identification", Elsevier, 2013.
  7. O. Nibouche, J. Jiang, "Palmprint matching using feature points and SVD factorisation", Elsevier, 2013.
  8. Jing Li, Jian Cao, Kaixuan Lu, "Improve the two-phase test samples representation method for palmprint recognition", Elsevier, 2013.
  9. Anne M. P. Canuto, Fernando Pintro, João C. Xavier-Junio, "Investigating fusion approaches in multi-biometric cancellable recognition", Elsevier, 2013.
  10. Norman Poh, Arun Ross, Weifeng Lee, Josef Kittle, "A user-specific and selective multimodal biometric fusion strategy by ranking subjects", Elsevier, 2013.
  11. Mohd Shahrimie Mohd Asaari, Shahrel A. Suandi, Bakhtiar Affendi Rosdi, "Fusion of Band Limited Phase Only Correlation and Width Centroid Contour Distance for finger based biometrics", Elsevier, 2014.
  12. Zengxi Huang, Yiguang Liu, Chunguang Li, Menglong Yang, Liping Chen, "A robust face and ear based multimodal biometric system using sparse representation", Elsevier, 2013.
  13. Meng Ding, Li Wei, Bangfeng Wang ,"Research on fusion method for infrared and visible images via compressive sensing", Elsevier, 2013.
  14. Mr. J. Aravinth, Dr. S. Valarmathy, "A Novel Feature Extraction Techniques for Multimodal Score Fusion Using Density Based Gaussian Mixture Model Approach", IJETAE, Jan 2012.
  15. K. Kuppusamy,K. Thamodaran,"Optimized Image Watermarking Scheme Based on PSO", Procedia Engineering,Elsevier 2012.
  16. Sunil Kumar Panjeta, Deepak Sharma, "A Survey on image fusion techniques used to improve image quality",International Journal of Engineering and research,2012.
Index Terms

Computer Science
Information Sciences

Keywords

Biometric watermarking fusion Peak Signal Noise ratio (PSNR) Normalized Absolute Error(NAE) and Normalized Cross Correlation(NCC).

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