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An Investigation Of Ben-ford's Law Divergence And Machine Learning Techniques For Separability Of Fingerprint Images. (arXiv:2201.01699v1 [cs.CV])
Jan. 6, 2022, 2:10 a.m. | Aamo Iorliam, Orgem Emmanuel, Yahaya I. Shehu
cs.CV updates on arXiv.org arxiv.org
Protecting a fingerprint database against attackers is very vital in order to
protect against false acceptance rate or false rejection rate. A key property
in distinguishing fingerprint images is by exploiting the characteristics of
these different types of fingerprint images. The aim of this paper is to
perform the classification of fingerprint images.
arxiv cv divergence investigation law learning machine machine learning machine learning techniques
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