Palmprint Identification Using Gabor and Wide Principal Line Features

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Abstract

In this paper proposed palmprint identification using Gabor features, Gabor and Wide Principal Line Image (WPLI) features. Extracted a fixed size ROI from palmprint images. Resize the extracted ROI into 64 x 64. Apply the Gabor filters to extract the features from the resized ROI. Dissimilarity distance is used to measure the dissimilarity between the query palmprint and database palmprint images. Experiments were conducted on Polyu Palmprint Database using Gabor features, Gabor and WPLI features. Experimental results shows that the proposed approach using Gabor and WPLI features obtains better results compared with the existing methods.

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APA

Kalluri, H. K., & Prasad, M. V. N. K. (2016). Palmprint Identification Using Gabor and Wide Principal Line Features. In Procedia Computer Science (Vol. 93, pp. 706–712). Elsevier B.V. https://doi.org/10.1016/j.procs.2016.07.272

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