An efficient finger-vein extraction algorithm based on random forest regression with efficient local binary patterns

Research article (2016 IEEE International Conference on Image Processing (ICIP), 2016) · cited 35× · AI/ML
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An efficient finger-vein extraction algorithm based on random forest regression with efficient local binary patterns

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An efficient finger-vein extraction algorithm based on random forest regression with efficient local binary patterns is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An efficient finger-vein extraction algorithm based on random forest regression with efficient local binary patterns. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-finger-vein-extraction-algorithm-based-on-random-forest-regression-with-efficient-local-binary-patterns
MLA “An efficient finger-vein extraction algorithm based on random forest regression with efficient local binary patterns.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-finger-vein-extraction-algorithm-based-on-random-forest-regression-with-efficient-local-binary-patterns.
BibTeX @misc{4ortxyz_an-efficient-finger-vein-extraction-algorithm-based-on-random-forest-regression-with-efficient-local-binary-patterns_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient finger-vein extraction algorithm based on random forest regression with efficient local binary patterns}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-finger-vein-extraction-algorithm-based-on-random-forest-regression-with-efficient-local-binary-patterns}, note = {Accessed: 2026-05-24}}
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