DeepPore: fingerprint pore extraction using deep convolutional neural networks
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 …
pores, one of the Level 3 features of fingerprints, have been successfully used in automatic …
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 …
commonly used bio-signature need to improve their safety continuously. The third level …
A novel pore extraction method for heterogeneous fingerprint images using convolutional neural networks
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 …
frequency) and Level 2 features (minutiae points) to recognize individuals. Level 3 features …
Adaptive fingerprint pore modeling and extraction
Sweat pores on fingerprints have proven to be discriminative features and have recently
been successfully employed in automatic fingerprint recognition systems (AFRS), where the …
been successfully employed in automatic fingerprint recognition systems (AFRS), where the …
Fingerprint pore matching using deep features
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 …
resolution automated fingerprint recognition systems (AFRSs). Pore matching is an …
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 …
detection and recognition. There are considerable pores in a high-resolution fingerprint …
Adaptive pore model for fingerprint pore extraction
Sweat pores have been recently employed for automated fingerprint recognition, in which
the pores are usually extracted by using a computationally expensive skeletonization …
the pores are usually extracted by using a computationally expensive skeletonization …
Pore detection in high-resolution fingerprint images using deep residual network
V Anand, V Kanhangad - Journal of Electronic Imaging, 2019 - spiedigitallibrary.org
We present a residual learning-based convolutional neural network, referred to as
DeepResPore, for detection of pores in high-resolution fingerprint images. Specifically, the …
DeepResPore, for detection of pores in high-resolution fingerprint images. Specifically, the …
Stable pore detection for high-resolution fingerprint based on a CNN detector
High-resolution fingerprint images contain three levels of features. Pores, as one of the level
3 features, have wide attention due to its significant contribution to the recognition accuracy …
3 features, have wide attention due to its significant contribution to the recognition accuracy …
A deep learning approach towards pore extraction for high-resolution fingerprint recognition
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 …
found to be one of the promising candidates in improving the performance of automated …