DeepPore: Fingerprint pore extraction using deep convolutional neural networks

HU Jang, D Kim, SM Mun, S Choi… - IEEE signal processing …, 2017 - ieeexplore.ieee.org
As technological developments have enabled high-quality fingerprint scanning, sweat
pores, one of the Level 3 features of fingerprints, have been successfully used in automatic …

Age estimation based on face images and pre-trained convolutional neural networks

A Anand, RD Labati, A Genovese… - … symposium series on …, 2017 - ieeexplore.ieee.org
Age estimation based on face images plays an important role in a wide range of scenarios,
including security and defense applications, border control, human-machine interaction in …

Fingerprint pore extraction using U-Net based fully convolutional network

H Wang, X Yang, L Ma, R Liang - … 2017, Shenzhen, China, October 28-29 …, 2017 - Springer
The public demand for personal safety is increasing rapidly. Fingerprint features as the most
commonly used bio-signature need to improve their safety continuously. The third level …