A comparative study of handcrafted local texture descriptors for fingerprint liveness detection under real world scenarios

RP Sharma, S Dey - Multimedia Tools and Applications, 2021 - Springer
Authentication using fingerprints is widely deployed in various applications to ensure a
secure and efficient method for access control. However, fingerprint recognition systems can …

An effective fingerprint orientation field estimation method using differential values of grayscale intensity

TW Shen, MH Hsu, CH Shen, WF Wu, YC Lu… - PeerJ Computer …, 2023 - peerj.com
Fingerprint orientation field (OF) estimation is important for basic fingerprint image
processing and impacts the accuracy of fingerprint image enhancements, such as Gabor …

Asynchronous processing for latent fingerprint identification on heterogeneous CPU-GPU systems

AJ Sanchez-Fernandez, LF Romero, D Peralta… - IEEE …, 2020 - ieeexplore.ieee.org
Latent fingerprint identification is one of the most essential identification procedures in
criminal investigations. Addressing this task is challenging as (i) it requires analyzing …

Exploring the Power of Simplicity: A New State-of-the-Art in Fingerprint Orientation Field Estimation

R Cappelli - IEEE Access, 2024 - ieeexplore.ieee.org
Fingerprint recognition is an important tool for personal identification due to its versatility,
user-friendliness, and accuracy. Fingerprint orientation field estimation, a crucial step in …

Fingerprint analysis and representation

D Maltoni, D Maio, AK Jain, J Feng - Handbook of fingerprint recognition, 2022 - Springer
This chapter introduces classical domain knowledge-based and emerging learning-based
techniques for feature extraction in fingerprints. Specific sections are dedicated to explain …

Orientation field estimation for latent fingerprints with prior knowledge of fingerprint pattern

Y Duan, J Feng, J Lu, J Zhou - 2021 IEEE International Joint …, 2021 - ieeexplore.ieee.org
Estimating orientation field for latent fingerprints plays a crucial role in latent fingerprints
recognition systems. Due to poor quality and small area of latent fingerprints, however, the …

LQM: Localized quality measure for fingerprint image enhancement

K Panetta, S Rajeev, SS Agaian - Ieee Access, 2019 - ieeexplore.ieee.org
Fingerprint is one of the most widely used biometric in law enforcement. However, low-
quality fingerprint images can drastically degrade the performance of automated fingerprint …

Regression via classification for fingerprint orientation estimation

N Erdoğmuş - IEEE Access, 2024 - ieeexplore.ieee.org
Estimating the direction in which the ridges and valleys of the fingerprint pattern are aligned
often serves as a pivotal first step in fingerprint recognition systems. The ridge orientation …

[PDF][PDF] Finger Type Classification with Deep Convolution Neural Networks.

YA Al-Wajih, WM Hamanah, MA Abido, F Al-Sunni… - ICINCO, 2022 - scitepress.org
1Control and Instrumentation Engineering Department at KFUPM, Dhahran, 31261, Saudi
Arabia 2Interdisciplinary Research Center in Renewable Energy and Power Systems (IRC …

Robustness of topological defects in discrete domains

KB Hoffmann, IF Sbalzarini - Physical Review E, 2021 - APS
Topological defects are singular points in vector fields, important in applications ranging
from fingerprint detection to liquid crystals to biomedical imaging. In discretized vector fields …