2017
A deep learning approach towards pore extraction for high-resolution fingerprint recognition
ICASSP 2017accepted
As high-resolution fingerprint images are becoming more common, the pores have been found to be one of the promising candidates in improving the performance of automated fingerprint identification systems (AFIS). This paper proposes a deep learning approach towards pore extraction. It exploits the f…