Fingerprint Pore Detection: A Survey
A Ibragimov, MP Segundo - arXiv preprint arXiv:2211.14716, 2022 - arxiv.org
This work presents the first survey on fingerprint pore detection. The survey provides a
general overview of the field and discusses methods, datasets, and evaluation protocols. We …
general overview of the field and discusses methods, datasets, and evaluation protocols. We …
Improving fingerprint pore detection with a small FCN
G Dahia, MP Segundo - arXiv preprint arXiv:1811.06846, 2018 - arxiv.org
In this work, we investigate if previously proposed CNNs for fingerprint pore detection
overestimate the number of required model parameters for this task. We show that this is …
overestimate the number of required model parameters for this task. We show that this is …
An efficient convolutional neural network for fingerprint pore detection
Pore detection for fingerprint recognition has gained much research attention in recent
years, in view of the existence of large number of pores in a small fingerprint segment and …
years, in view of the existence of large number of pores in a small fingerprint segment and …
Cross-sensor pore detection in high-resolution fingerprint images
V Anand, V Kanhangad - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
With the emergence of high-resolution fingerprint sensors, there has been a lot of focus on
level-3 fingerprint features, especially the pores, for the next generation automated …
level-3 fingerprint features, especially the pores, for the next generation automated …
Fingerprint pore extraction
Sweat pores on fingerprints have proven to be discriminative features and have recently
been successfully employed in automatic fingerprint recognition systems (AFRS). It is crucial …
been successfully employed in automatic fingerprint recognition systems (AFRS). It is crucial …
Weakly supervised fingerprint pore extraction with convolutional neural network
R Tang, S Sun, F Liu, Z Guo - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Fingerprint recognition has been used for person identification for centuries, and fingerprint
features are divided into three levels. The level 3 feature is the fingerprint pore, which can be …
features are divided into three levels. The level 3 feature is the fingerprint pore, which can be …
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 …
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 …
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 …
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 …