Abstract | ||
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Vein recognition is emerging as a good alternative to the high-level biometric authentication due to its robustness against forgery. However, the poor quality of the vein image still poses a great difficulty to the extension of its usability. In this letter, we propose a novel method for vein enhancement based on a dark diffusion prior. The key idea of the proposed method is to reveal the characte... |
Year | DOI | Venue |
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2018 | 10.1109/LSP.2018.2857207 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Veins,Databases,Diffusion processes,Skin,Histograms,Authentication,Lighting | Histogram,Authentication,Pattern recognition,Vein,Usability,Robustness (computer science),Artificial intelligence,Biometrics,Mathematics,Vein recognition | Journal |
Volume | Issue | ISSN |
25 | 9 | 1070-9908 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Wonjun Kim | 1 | 301 | 26.50 |