Detecting locally, patching globally: An end-to-end framework for high speed and accurate detection of fingerprint minutiae
Y Feng, A Kumar - IEEE Transactions on Information Forensics …, 2023 - ieeexplore.ieee.org
Billions of fingerprint images are acquired and matched to protect the national borders and
in a range of egovernance applications. Fast and accurate minutiae detection from …
in a range of egovernance applications. Fast and accurate minutiae detection from …
A secure and robust indexing algorithm for distorted fingerprints and latent palmprints
Nowadays, both fingerprint and palmprint databases are massive and whose size has
exceeded millions. Therefore, applying a filtering technique, such as indexing, is vital for …
exceeded millions. Therefore, applying a filtering technique, such as indexing, is vital for …
Infant-ID: Fingerprints for global good
In many of the least developed and develo** countries, a multitude of infants continue to
suffer and die from vaccine-preventable diseases and malnutrition. Lamentably, the lack of …
suffer and die from vaccine-preventable diseases and malnutrition. Lamentably, the lack of …
A multi-task fully deep convolutional neural network for contactless fingerprint minutiae extraction
Z Zhang, S Liu, M Liu - Pattern Recognition, 2021 - Elsevier
With the outbreak and wide spread of novel coronavirus (COVID-19), contactless fingerprint
recognition has attracted more attention for personal recognition because it can provide …
recognition has attracted more attention for personal recognition because it can provide …
[PDF][PDF] An automatic deep neural network model for fingerprint classification
The accuracy of fingerprint recognition model is extremely important due to its usage in
forensic and security fields. Any fingerprint recognition system has particular network …
forensic and security fields. Any fingerprint recognition system has particular network …
Fingerprint Recognition in Forensic Scenarios
Fingerprints are unique patterns used as biometric keys because they allow an individual to
be unambiguously identified, making their application in the forensic field a common …
be unambiguously identified, making their application in the forensic field a common …
Multi-layered minutiae extraction based on fusion-attention for OCT fingerprints
F Liu, W Zeng, W Zhang, L Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Minutiae extraction plays an important role in automated fingerprint identification systems.
There are many minutiae extraction methods proposed for various fingerprints …
There are many minutiae extraction methods proposed for various fingerprints …
A Lightweight and Noise-robust Method for Internal OCT Fingerprint Reconstruction
F Liu, W Zeng, Y Li, L Shen - IEEE Transactions on Information …, 2024 - ieeexplore.ieee.org
Optical coherence tomography (OCT), as a non-invasive and high-resolution three-
dimensional imaging technology, can capture biological tissue structure information under …
dimensional imaging technology, can capture biological tissue structure information under …
Analysis of fingerprint recognition system using neural network
G Awasthi, DH Fadewar, A Siddiqui… - … on Communication & …, 2020 - papers.ssrn.com
Fingerprint identification has a substantial efficacy in forensic science and aids criminal
investigations. Fingerprints are distinctive and remain enduring throughout a person's life …
investigations. Fingerprints are distinctive and remain enduring throughout a person's life …
[PDF][PDF] Deep Minutiae Fingerprint Extraction Using Equivariance Priors.
Currently, fingerprints are one of the most explored characteristics in biometric systems.
These systems typically rely on minutiae extraction, a task highly dependent on image …
These systems typically rely on minutiae extraction, a task highly dependent on image …