2021 International Conference on Computer Communication and Informatics (ICCCI) 2021
DOI: 10.1109/iccci50826.2021.9402594
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Finger Vein Authentication System

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Cited by 3 publications
(1 citation statement)
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“…The suggested method not only outperforms other CNN architectures that have been studied in the literature, but it also offers a much smaller template size than other finger vein image matching techniques that have been studied in the literature. Haiying Liu et al [5], employ manually created descriptors like local binary pattern (LBP), local line binary pattern (LLBP), and Gabor features. In order to accomplish this, we first compute the difference between each pixel and its straight-line neighboring pixels in order to extract multidirectional pixel difference vectors (MDPDVs) for each pixel in a training finger vein image.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The suggested method not only outperforms other CNN architectures that have been studied in the literature, but it also offers a much smaller template size than other finger vein image matching techniques that have been studied in the literature. Haiying Liu et al [5], employ manually created descriptors like local binary pattern (LBP), local line binary pattern (LLBP), and Gabor features. In order to accomplish this, we first compute the difference between each pixel and its straight-line neighboring pixels in order to extract multidirectional pixel difference vectors (MDPDVs) for each pixel in a training finger vein image.…”
Section: Literature Reviewmentioning
confidence: 99%