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

Volume 6 Issue 2 April - June 2019

Research Paper

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

Abubakar Sadiq Muhammad*, Auwal Sani iliyasu**, Abubakar A. Umar***, Bello A. Imam****, Shehu H.Ayagi*****, Muhammad A. Baballe******

*_******School of Technology, Department of Computer Science and Engineering, Kano State Polytechnic Kano, Nigeria.

Muhammad, A. S., Iliyasu, A. S., Umar, A. A., 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), 14-18.

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 using Gabor Wavelet Transform (GWT)for palmprint images collected from different light illumination 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 ofsystem performance by a number of classifiers. The method demonstrates an increase in recognitionperformance of almost 100% could be obtained in the system by fusion of the spectra as compared to previous works.