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Finger Vein Recognition Based on a Histogram of Competitive Gabor Directional Binary Statistics

Finger Vein Recognition Based on a Histogram of Competitive Gabor Directional Binary Statistics

Min Li, Huabin Wang, Leqian Li, Dailei Zhang, Liang Tao
Copyright: © 2023 |Volume: 34 |Issue: 3 |Pages: 19
ISSN: 1063-8016|EISSN: 1533-8010|EISBN13: 9798369301517|DOI: 10.4018/JDM.321547
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MLA

Li, Min, et al. "Finger Vein Recognition Based on a Histogram of Competitive Gabor Directional Binary Statistics." JDM vol.34, no.3 2023: pp.1-19. http://doi.org/10.4018/JDM.321547

APA

Li, M., Wang, H., Li, L., Zhang, D., & Tao, L. (2023). Finger Vein Recognition Based on a Histogram of Competitive Gabor Directional Binary Statistics. Journal of Database Management (JDM), 34(3), 1-19. http://doi.org/10.4018/JDM.321547

Chicago

Li, Min, et al. "Finger Vein Recognition Based on a Histogram of Competitive Gabor Directional Binary Statistics," Journal of Database Management (JDM) 34, no.3: 1-19. http://doi.org/10.4018/JDM.321547

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Abstract

Traditional methods of extracting finger vein texture changes and orientation features are susceptible to illumination, translation, noise, and rotation, and the process has difficulty directly extracting structural features through the original image. In this paper, the histogram of competitive Gabor directional binary statistics (HCGDBS) is proposed to extract discriminative structural features. First, the index of the largest filter value is obtained based on the multidirectional Gabor filter as the dominant direction, thereby obtaining the rotation-invariance feature. Second, according to the filter response size of each pixel in different directions, the order difference relationship between the adjacent three directions is compared, and a highly discriminative competitive Gabor direction binary pattern (CGDBP) is constructed. Finally, the CGDBP features are extracted in blocks, and the HCGDBS is constructed to overcome image translation. Experimental results show that it improves the recognition performance and overcomes illumination, translation, noise, and rotation.