[PDF][PDF] A Review of Fingerprint Feature Representations and Their Applications for Latent Fingerprint Identification: Trends and Evaluation.

D Valdes-Ramirez, MA Medina-Pérez, R Monroy… - IEEE Access, 2019 - academia.edu
Latent fingerprint identification is attracting increasing interest because of its important role
in law enforcement. Although the use of various fingerprint features might be required for …

Fingerprint classification and identification algorithms for criminal investigation: A survey

KN Win, K Li, J Chen, PF Viger, K Li - Future Generation Computer Systems, 2020 - Elsevier
Fingerprint plays a fundamental role in community security and criminal investigation, such
as forensic investigation, law enforcement, customs access and public security organs. This …

[HTML][HTML] Integration of biometrics and steganography: A comprehensive review

I McAteer, A Ibrahim, G Zheng, W Yang, C Valli - Technologies, 2019 - mdpi.com
The use of an individual's biometric characteristics to advance authentication and
verification technology beyond the current dependence on passwords has been the subject …

[HTML][HTML] An intelligent system for automatic fingerprint identification using feature fusion by Gabor filter and deep learning

M Ahsan, MA Based, J Haider, M Kowalski - Computers and Electrical …, 2021 - Elsevier
This paper introduces an intelligent computational approach to automatically authenticate
fingerprint for personal identification and verification. The feature vector is formed using …

Robust and high-security fingerprint recognition system using optical coherence tomography

F Liu, G Liu, Q Zhao, L Shen - Neurocomputing, 2020 - Elsevier
Traditional fingerprint recognition systems are vulnerable to attacks, such as the use of
artificial fingerprints, and poor performance will be achieved if the captured surface …

On the use of convolutional neural networks for robust classification of multiple fingerprint captures

D Peralta, I Triguero, S García, Y Saeys… - … Journal of Intelligent …, 2018 - Wiley Online Library
Fingerprint classification is one of the most common approaches to accelerate the
identification in large databases of fingerprints. Fingerprints are grouped into disjoint …

Contactless fingerprint recognition based on global minutia topology and loose genetic algorithm

X Yin, Y Zhu, J Hu - IEEE Transactions on Information …, 2019 - ieeexplore.ieee.org
Contactless fingerprint recognition is highly promising and an essential component in the
automatic fingerprint identification system. However, due to the inherent characteristic of …

Partial fingerprint matching using minutiae and ridge shape features for small fingerprint scanners

W Lee, S Cho, H Choi, J Kim - Expert Systems with Applications, 2017 - Elsevier
Currently, most mobile devices adopt very small fingerprint sensors that only capture small
partial fingerprint images. Accordingly, conventional minutiae-based fingerprint matchers …

[HTML][HTML] A continuous identity authentication scheme based on physiological and behavioral characteristics

G Wu, J Wang, Y Zhang, S Jiang - Sensors, 2018 - mdpi.com
Wearable devices have flourished over the past ten years providing great advantages to
people and, recently, they have also been used for identity authentication. Most of the …

A secure and robust indexing algorithm for distorted fingerprints and latent palmprints

J Khodadoust, MA Medina-Pérez… - Expert Systems with …, 2022 - Elsevier
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 …