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Palm Print Recognition using Zernike Moments

by Subhajit Karar, Ranjan Parekh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 55 - Number 16
Year of Publication: 2012
Authors: Subhajit Karar, Ranjan Parekh
10.5120/8839-3069

Subhajit Karar, Ranjan Parekh . Palm Print Recognition using Zernike Moments. International Journal of Computer Applications. 55, 16 ( October 2012), 15-19. DOI=10.5120/8839-3069

@article{ 10.5120/8839-3069,
author = { Subhajit Karar, Ranjan Parekh },
title = { Palm Print Recognition using Zernike Moments },
journal = { International Journal of Computer Applications },
issue_date = { October 2012 },
volume = { 55 },
number = { 16 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 15-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume55/number16/8839-3069/ },
doi = { 10.5120/8839-3069 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:57:25.529496+05:30
%A Subhajit Karar
%A Ranjan Parekh
%T Palm Print Recognition using Zernike Moments
%J International Journal of Computer Applications
%@ 0975-8887
%V 55
%N 16
%P 15-19
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposes an automated system for recognizing palmprints for biometric identification of individuals. Complex Zernike moments are constructed using a set of complex polynomials which form a complete orthogonal basis set defined on the unit disc. Palmprint images are projected onto the basis set resulting in a set of complex signals. The magnitude of the complex value is computed and a scalar value is derived from it by computing the mean of the vector elements. Classification is done by subtracting the test samples from the mean of the training set. The data set consists of 80 images divided into 4 classes. Accuracy obtained is comparable to the best results reported in literature

References
  1. Mostafa. Abu, Y. S and Psaltis. D. 1985. Image normalization by complex moments. IEEE Trans. On Pattern Analysis and Machine Intelligence, 7(1), pp. 46-55.
  2. Dudani, S. A, Breeding. K. J and McGhee. R. B. 1983. Aircraft identification by moment invariants. IEEE Trans. Computers, 26(1), pp. 39-45.
  3. Gayathri, R. and Ramamoorthy. P. 2012. Automatic Palmprint Identification based on High Order Zernike Moment. American Journal of Applied Sciences, pp. 759-765.
  4. Ali. Mian Mahmood, Ghafoor. Mubeen and Taj. Imtiaz A. 2011. Palm Print Recognition Using Oriented Hausdorff Distance, IEEE Proceedings of the 2011 Frontiers of Information Technology. pp. 85-88.
  5. Akinbile. M. O. Rotinwa, Aibinu. A. M. and Salami. M. J. E. 2011. Palmprint Recognition Using Principal Lines Characterization. IEEE First International Conference on Informatics and Computational Intelligence. pp. 278-282.
  6. Yang. Wang-li and Wang. Li-li. 2010. Research of PalmPrint Identification Method Using Zernike Moment and Neural Network. IEEE Sixth International Conference on Natural Computation. pp. 1310-1313.
  7. Fuertes. Juan Jose, Travieso. Carlos M, Ferrer. Miguel A. and Alonso. Jesus B. 2010. Intra-Modal Biometric System Using Hand-Geometry and Palmprint Texture. IEEE International Carnahan Conference on Security Technology. pp. 318-322.
  8. Su. Ching-Liang. 2009. Palm extraction and identification. ELSEVIER Expert Systems with Applications. pp. 1082-1091.
  9. Du. Ning, Qi. Miao, Zhang. Yinan and Kong. Jun. 2009. Palmprint Verification based on Specific-user. IEEE Second International Symposium on Electronic Commerce and Security. pp. 314-317.
  10. Masood. Hassan, Mumtaz. Mustafa, Butt. M Asif Afzal, Mansoor Atif Bin and Khan Shoab A. 2008. Wavelet Based Palmprint Authentication System. IEEE International Symposium on Biometrics and Security Technologies. pp. 1-7.
  11. Michael Goh Kah Ong, Connie Tee and Teoh Andrew Beng Jin. 2008. Touch-less palm print biometrics: Novel design and implementation. ELSEVIER Image and Vision Computing. pp. 1551-1560.
  12. Huang De-Shuang, Jia Wei and Zhang David. 2008. Palmprint verification based on principal lines. ELSEVIER Pattern Recognition. pp. 1316-1328.
  13. Hennings Pablo, Savvides Marios and Kumar B. V. K. Vijaya. 2007. Palmprint Recognition with Multiple Correlation Filters Using Edge Detection for Class-Specific Segmentation. IEEE Workshop on Automatic Identification Advanced Technologies. pp. 214-219.
  14. Pang Ying-Han, Andrew T. B. J, David N. C. L and Hiew Fu San. 2004. Palmprint Verification with Moments. 12th Int. Conf. of Winter School of Computer Graphics (WSCG), pp. 325-332.
  15. Sudha Gnanou Florence, Niveditha. M, Srinandhini K. , and Narmadha. S. 2011. Hand Based Biometric Recognition Based on Zernike Moments and Log Gabor Filters. International Journal of Research and Reviews in Information Sciences (IJRRIS). pp. 119-125.
  16. Teague, M. R. , 1980. Image analysis via the general theory of moments. Journal of Optical Society of America. 70(8), pp. 920-930.
  17. Zernike, F. , Physica, vol. 1, p. 689, 1934
  18. PolyU palmprint database : (http://www4. comp. polyu. edu. hk/~biometrics/index_db. htm).
Index Terms

Computer Science
Information Sciences

Keywords

Zernike moment Palmprint recognition Texture classification

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