Gabor Based Band Selection for Multispectral Palmprint Recognition System using Feature Fusion

Abubakar Sadiq Muhammad*, Auwal Sani Iliyasu**, Abubakar Umar Abdullahi***, Bello Abubakar Imam****, Shehu Hassan Ayagi*****, Muhammad Ahmad Baballe******
*_****** Department of Computer Science and Engineering, School of Technology, Kano State Polytechnic, Nigeria.
Periodicity:April - June'2019
DOI : https://doi.org/10.26634/jip.6.2.16446

Abstract

The efficiency of a palmprint recognition system lies in its robustness and antispoofing capabilities. Enhancing their capabilities will require the use of new techniques for extracting more discriminative features from collected images particularly those with different illuminations. Feature level fusion is presented using the popular Gabor Wavelet Transform (GWT) for palmprint images collected from different light illumination, such as Red, Green, Blue, and Near Infra-Red (NIR). Individual spectra were fused as triple (R, B, NIR, and G, B, NIR) at feature level in the experiments, followed by verification of system performance by a number of classifiers. The method demonstrates that an increase in recognition performance of almost 100% could be obtained in the system by fusion of the spectra when compared to previous works.

Keywords

Biometrics, Multispectral Palmprint, Feature Fusion, Gabor Wavelet Transform, Principal Component Analysis, Classifiers.

How to Cite this Article?

Muhammad, A. S., Iliyasu, A. S., Abdullahi, A. U., Imam, B. A., Ayagi, S. H., & Baballe, M. A. (2019). Gabor Based Band Selection for Multispectral Palmprint Recognition System using Feature Fusion. i-manager's Journal on Image Processing, 6(2), 14-20. https://doi.org/10.26634/jip.6.2.16446

References

[1]. Biometrics Research Centre. (n.d). Retrieved from http://www.comp.polyu.edu.hk/~biometrics
[2]. Connie, T., Jin, A. T. B., Ong, M. G. K., & Ling, D. N. C. (2005). An automated palmprint recognition system. Image and Vision Computing, 23(5), 501-515.
[3]. David, B. (2011). Gabor wavelets in image processing. In Proceedings of the 17th Conference Student EEICT (Vol.3, pp.522-526).
[4]. Deng, H. B., Jin, L. W., Zhen, L. X., & Huang, J. C. (2005). A new facial expression recognition method based on local Gabor filter bank and PCA plus LDA. International Journal of Information Technology, 11(11), 86-96.
[5]. Guo, Z., Zhang, D., Zhang, L., Zuo, W., & Lu, G. (2011). Empirical study of light source selection for palmprint recognition. Pattern Recognition Letters, 32(2), 120-126.
[6]. Guo, Z., Zhang, L., & Zhang, D. (2010, August). Feature band selection for multispectral palmprint recognition. In 2010 20th International Conference on Pattern Recognition (pp. 1136-1139). IEEE.
[7]. Han, C. C., Cheng, H. L., Lin, C. L., & Fan, K. C. (2003). Personal authentication using palm-print features. Pattern Recognition, 36(2), 371-381.
[8]. Hao, Y., Sun, Z., & Tan, T. (2007, November). Comparative studies on multispectral palm image fusion for biometrics. In Asian Conference on Computer Vision (pp. 12-31).Berlin, Heidelberg: Springer.
[9]. Hao, Y., Sun, Z., Tan, T., & Ren, C. (2008, October). Multispectral palm image fusion for accurate contactth free palmprint recognition. In 2008 15 IEEE International Conference on Image Processing (pp. 281-284). IEEE.
[10]. Jain, A. K., Ross, A. A., & Nandakumar, K. (2011). Introduction to Biometrics. Springer Science & Business Media.
[11]. Kong, A. K., & Zhang, D. (2004, August). Competitive coding scheme for palmprint verification. In Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004 (Vol. 1, pp. 520-523). IEEE.
[12]. Kong, A., Zhang, D., & Kamel, M. (2009). A survey of palmprint recognition. Pattern Recognition, 42(7), 1408- 1418.
[13]. Kong, W. K., Zhang, D., & Li, W. (2003). Palmprint feature extraction using 2-D Gabor filters. Pattern Recognition, 36(10), 2339-2347.
[14]. Lee, T. S. (1996). Image representation using 2D Gabor wavelets. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(10), 959-971.
[15]. Mittal, N., Hanmandlu, M., Grover, J., & Vijay, R. (2012). Rank-level fusion of multispectral palmprints. International Journal of Computer Applications, 38(2), 33-37.
[16]. Ross, A., & Jain, A. (2003). Information fusion in biometrics. Pattern Recognition Letters, 24(13), 2115- 2125.
[17]. Rowe, R. K., Nixon, K. A., & Corcoran, S. P. (2005, June). Multispectral fingerprint biometrics. In Proceedings from the Sixth Annual IEEE SMC Information Assurance Workshop (pp. 14-20). IEEE.
[18]. Rowe, R. K., Uludag, U., Demirkus, M., Parthasaradhi, S., & Jain, A. K. (2007, September). A multispectral whole-hand biometric authentication system. In 2007 Biometrics Symposium (pp. 1-6). IEEE.
[19]. Schuckers, S. A. (2002). Spoofing and anti-spoofing measures. Information Security Technical Report, 7(4), 56-62.
[20]. Turk, M., & Pentland, A. (1991). Eigenfaces for recognition. Journal of Cognitive Neuroscience, 3(1), 71- 86.
[21]. Wang, J. G., Yau, W. Y., Suwandy, A., & Sung, E. (2008). Person recognition by fusing palmprint and palm vein images based on “Laplacianpalm” representation. Pattern Recognition, 41(5), 1514-1527.
[22]. Wang, L., & Leedham, G. (2006, November). Nearand far-infrared imaging for vein pattern biometrics. In 2006 IEEE International Conference on Video and Signal Based Surveillance (pp. 52). IEEE.
[23]. Wang, Y. X., & Ruan, Q. Q. (2008). A new preprocessing method of palmprint. Journal of Image and Graphics, 13(6), 1115-1122.
[24]. Wang, Z., & Simoncelli, E. P. (2005, March). Translation insensitive image similarity in complex wavelet domain. In Proceedings (ICASSP'05) IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005 (Vol. 2, pp.573-576). IEEE.
[25]. Xu, X., Guo, Z., Song, C., & Li, Y. (2012). Multispectral palmprint recognition using a quaternion matrix. Sensors, 12(4), 4633-4647.
[26]. Zhang, D., Guo, Z., Lu, G., Zhang, L., & Zuo, W. (2010). An online system of multispectral palmprint verification. IEEE Transactions on Instrumentation and Measurement, 59(2), 480-490.
[27]. Zhang, D., Kong, W. K., You, J., & Wong, M. (2003). Online palmprint identification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(9), 1041- 1050.
[28]. Zharov, V. P., Ferguson, S., Eidt, J. F., Howard, P. C., Fink, L. M., & Waner, M. (2004). Infrared imaging of subcutaneous veins. Lasers in Surgery and Medicine: The Official Journal of the American Society for Laser Medicine and Surgery, 34(1), 56-61.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.