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pro vyhledávání: '"Kho, Jun Beom"'
In this paper, we propose a method to represent a fingerprint image by an ordered, fixed-length bit-string providing improved accuracy performance, faster matching time and compressibility. First, we devise a novel minutia-based local structure model
Externí odkaz:
http://arxiv.org/abs/1811.11489
Autor:
Kho, Jun Beom
Generally, facial age variations affect gender classification accuracy significantly, because facial shape and skin texture change as they grow old. This requires re-examination on the gender classification system to consider facial age information.
Externí odkaz:
http://arxiv.org/abs/1809.01990
Publikováno v:
In Pattern Recognition July 2020 103
Publikováno v:
In Pattern Recognition July 2019 91:245-260
Publikováno v:
In Expert Systems With Applications February 2019 116:52-64