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 …

Fingerprint pore extraction using convolutional neural networks and logical operation

Y Zhao, F Liu, L Shen - … : 13th Chinese Conference, CCBR 2018, Urumqi …, 2018 - Springer
Sweat pores have been proved to be discriminative and successfully used for automatic
fingerprint recognition. It is crucial to extract pores precisely to achieve high recognition …

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 …

A novel pore extraction method for heterogeneous fingerprint images using convolutional neural networks

RD Labati, A Genovese, E Munoz, V Piuri… - Pattern Recognition …, 2018 - Elsevier
Most fingerprint recognition systems use Level 1 characteristics (ridge flow, orientation, and
frequency) and Level 2 features (minutiae points) to recognize individuals. Level 3 features …

A novel high-resolution fingerprint representation method

F Liu, G Liu, W Zhang, L Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Current high-resolution fingerprints are almost entirely represented by sweat pores, resulting
in information loss and weak robustness. This is caused by dividing fingerprint …

Adaptive fingerprint pore modeling and extraction

Q Zhao, D Zhang, L Zhang, N Luo - Pattern Recognition, 2010 - Elsevier
Sweat pores on fingerprints have proven to be discriminative features and have recently
been successfully employed in automatic fingerprint recognition systems (AFRS), where the …

Fingerprint pore matching using deep features

F Liu, Y Zhao, G Liu, L Shen - Pattern Recognition, 2020 - Elsevier
As a popular living fingerprint feature, sweat pore has been adopted to build robust high
resolution automated fingerprint recognition systems (AFRSs). Pore matching is an …

Pore-based ridge reconstruction for fingerprint recognition

M Pamplona Segundo… - Proceedings of the IEEE …, 2015 - cv-foundation.org
The use of sweat pores in fingerprint recognition is becoming increasingly popular, mostly
because of the wide availability of pores, which provides complementary information for …

Sweat gland extraction from optical coherence tomography using convolutional neural network

Y Zhang, X Li, H Wang, R Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As the Level 3 features of fingerprint, sweat pores have attracted attention in the field of
fingerprint recognition and have been successfully applied to automatic fingerprint …

CNN-based high-resolution fingerprint image enhancement for pore detection and matching

Z Shen, Y Xu, G Lu - 2019 IEEE Symposium Series on …, 2019 - ieeexplore.ieee.org
Pore is widely used because of its strong security and usefulness for live fingerprint
detection and recognition. There are considerable pores in a high-resolution fingerprint …