%0 Journal Article %1 journals/tifs/KangLLJ19 %A Kang, Wenxiong %A Lu, Yuting %A Li, Dejian %A Jia, Wei %D 2019 %J IEEE Trans. Information Forensics and Security %K dblp %N 4 %P 858-869 %T From Noise to Feature: Exploiting Intensity Distribution as a Novel Soft Biometric Trait for Finger Vein Recognition. %U http://dblp.uni-trier.de/db/journals/tifs/tifs14.html#KangLLJ19 %V 14

@article{journals/tifs/KangLLJ19, added-at = {2018-12-26T00:00:00.000+0100}, author = {Kang, Wenxiong and Lu, Yuting and Li, Dejian and Jia, Wei}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/204ac42f456dd2cdd70d4fc691f5b07a1/dblp}, ee = {https://doi.org/10.1109/TIFS.2018.2866330}, interhash = {8e9799545982dbd6ca74f0fdd4b28052}, intrahash = {04ac42f456dd2cdd70d4fc691f5b07a1}, journal = {IEEE Trans. Information Forensics and Security}, keywords = {dblp}, number = 4, pages = {858-869}, timestamp = {2019-09-27T10:58:44.000+0200}, title = {From Noise to Feature: Exploiting Intensity Distribution as a Novel Soft Biometric Trait for Finger Vein Recognition.}, url = {http://dblp.uni-trier.de/db/journals/tifs/tifs14.html#KangLLJ19}, volume = 14, year = 2019 }