Automated latent fingerprint identification system: A review
Latent fingerprints are considered as one of the important evidences obtained from the site
of crime. The process of developing, acquiring, processing and matching of latent …
of crime. The process of developing, acquiring, processing and matching of latent …
Fingerprint matching, spoof and liveness detection: classification and literature review
SF Ali, MA Khan, AS Aslam - Frontiers of Computer Science, 2021 - Springer
Fingerprint matching, spoof mitigation and liveness detection are the trendiest biometric
techniques, mostly because of their stability through life, uniqueness and their least risk of …
techniques, mostly because of their stability through life, uniqueness and their least risk of …
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 …
Fingernet: Pushing the limits of fingerprint recognition using convolutional neural network
Fingerprint recognition has been utilized for cellphone authentication, airport security and
beyond. Many different features and algorithms have been proposed to improve fingerprint …
beyond. Many different features and algorithms have been proposed to improve fingerprint …
Selecting a reference high resolution for fingerprint recognition using minutiae and pores
High-resolution automated fingerprint recognition systems (AFRSs) offer higher security
because they are able to make use of level-3 features, such as pores, that are not available …
because they are able to make use of level-3 features, such as pores, that are not available …
The modulus constraint: a new constraint self-calibration
M Pollefeys, L Van Gool… - Proceedings of 13th …, 1996 - ieeexplore.ieee.org
To obtain a Euclidean reconstruction from images the cameras have to be calibrated. In
recent years different approaches have been proposed to avoid explicit calibration. The …
recent years different approaches have been proposed to avoid explicit calibration. The …
Synthesis of multi-view 3D fingerprints to advance contactless fingerprint identification
Billions of contact-based fingerprint images have been acquired in large databases.
Contactless 2D fingerprint identification systems have emerged to provide more hygienic …
Contactless 2D fingerprint identification systems have emerged to provide more hygienic …
Level three synthetic fingerprint generation
ABV Wyzykowski, MP Segundo… - 2020 25th …, 2021 - ieeexplore.ieee.org
Today's legal restrictions that protect the privacy of biometric data are hampering fingerprint
recognition researches. For instance, all high-resolution fingerprint databases ceased to be …
recognition researches. For instance, all high-resolution fingerprint databases ceased to be …
PoreNet: CNN-based pore descriptor for high-resolution fingerprint recognition
V Anand, V Kanhangad - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
With the development of high-resolution fingerprint scanners, high-resolution fingerprint-
based biometric recognition has received increasing attention in recent years. This paper …
based biometric recognition has received increasing attention in recent years. This paper …