CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
Implementation of Feature Selection Using Correlation Matrix in Python

Ahmad Farhan AlShammari
Random Articles
Reseach Article

Palmprint Biometrics using Feed Forward Back Propagation Neural Network

by Rashmi Shrivas, Nilmani Verma, Vikas Singh
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 74 - Number 3
Year of Publication: 2013
Authors: Rashmi Shrivas, Nilmani Verma, Vikas Singh
10.5120/12868-9743

Rashmi Shrivas, Nilmani Verma, Vikas Singh . Palmprint Biometrics using Feed Forward Back Propagation Neural Network. International Journal of Computer Applications. 74, 3 ( July 2013), 45-49. DOI=10.5120/12868-9743

@article{ 10.5120/12868-9743,
author = { Rashmi Shrivas, Nilmani Verma, Vikas Singh },
title = { Palmprint Biometrics using Feed Forward Back Propagation Neural Network },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 74 },
number = { 3 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 45-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume74/number3/12868-9743/ },
doi = { 10.5120/12868-9743 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:41:17.503927+05:30
%A Rashmi Shrivas
%A Nilmani Verma
%A Vikas Singh
%T Palmprint Biometrics using Feed Forward Back Propagation Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 74
%N 3
%P 45-49
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A biometric system provides more efficient and reliable means of identity verification. By this biometric verification it can be decided whether print based identity verification system has been widely used in various applications like access control, two characteristics belongs to the same person or not. Human palm print images contain some unique objects that can easily identify people, which make it a very competitive topic in biometric research. This paper proposes a new method for human identification using palm print based biometrics. In this approach, first of all, the images of the palm are to be captured using digital camera. Then extract some special features for palm print images of human using image processing. Here special region based features are extracted that are more efficient. Dataset is to be created for using such features. Neural network is used here for the similarity matching. Back propagation algorithm is used here.

References
  1. Jiwen Lu,Yongwei Zhao,Yanxue Xue and Junlin Hu "Palm print Recognition via Locality Preserving Projections and Extreme Learning Machine Neural Network" ICSP2008 Proceedings.
  2. Xiaoxu Cheng and Shuhua Wang " A New Palmprint Identification Technique Based on a Two –stage Neural Network Classifier" 2008 International Conference on Computer Science and Software Engineering.
  3. You J. , Li W. , Zhang D. Hierarchical Palmprint Identification via Multiple Feature Extraction. Pattern Recognition,35, 847-859, 2002.
  4. Zhang, D. , Shu, W. : Two Novel Characteristics in Palmprint verification: datum point invariance and line feature matching. Pattern Recognition Letters 32, 691–702 (1999)
  5. Wu, X. , Wang, K. , Zhang, D. : Fuzzy directional element energy feature based palmprint identification. In: Proc. of International Conference on Pattern Recognition, vol. 1, pp. 95–98 (2002)
  6. Han, C. C. , Cheng, H. L. , Lin, C. L. , Fan, K. C. : Personal Authentication Using Palmprint. Pattern Recognition 36, 281–371 (2003).
  7. Han C. C. , Cheng H. L. , Lin C. L. , Fan K. C. Personal Authentication using Palmprint Features. Pattern Recognition,36:371-381,2003.
  8. Li, W. , Zhang, D. , Xu, Z. : Palmprint Identification by Fourier Transform. International Journal of Pattern Recognition and Artificial Intelligence 16, 417–432 (2003).
  9. Kong, W. K. , Zhang, D. , Li, W. : Palmprint Feature Extraction using 2-D Gabor Filters. Pattern Recognition 36, 2339–2347 (2003)
  10. Lu, G. , Zhang, D. , Wang, K. : Palmprint Recognition using Eigenpalms Features. Pattern Recognition Letters 24, 1473–1477 (2003)
  11. Wu, X. , Zhang, D. , Wang, K. : Fisherpalm Based Palmprint Recognition. Pattern Recognition Letters 24, 2829–2838 (2003)
  12. Shang, L. , Zhang, D. , Du, J. , Zheng, C. : Palmprint Recognition Using FastICA algorithm and Radial Basis Probabilistic Neural Network. Pattern Recognition Letters 69, 1782– 1786 (2006).
  13. M. Wang, Q. Ruan, "Palmprint recognition based on two dimensional methods",Proceedings of ICSP, 2006. A. Kumar, D. Zhang, "Personal recognition using hand shape and texture", IEEE Transactions on Image Processing, vol. 15, no. 8,pp. 2454-2461, 2006.
  14. F. Li, M. K. H. Leung, X. Yu, "A two-level matching scheme for speedy and accurate palmprint identification", LNCS 4352, pp. 323-332, 2007.
  15. W-S Chen, Y-S Chiang, Y-H Chiu, "Biometric verification by fusing hand geometry and palmprint", Proceedings of Int. Conf. on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP), pp. 403-406, 2007.
  16. M. Ekinci, M. Aykut, "Palmprint recognition by applying wavelet subband representation and kernel PCA", LNAI 4571, pp. 628-642, 2007.
  17. M. Ekinci, M. Aykut, "Palmprint recognition by applying wavelet based kernel PCA", J. of Computer Science, vol. 23, no. 5, pp. 851-861, 2008
Index Terms

Computer Science
Information Sciences

Keywords

Neural network back propagation features extraction

Powered by PhDFocusTM