A review of biometric technology along with trends and prospects

JA Unar, WC Seng, A Abbasi - Pattern recognition, 2014 - Elsevier
Identity management through biometrics offer potential advantages over knowledge and
possession based methods. A wide variety of biometric modalities have been tested so far …

Ocular biometrics: A survey of modalities and fusion approaches

I Nigam, M Vatsa, R Singh - Information Fusion, 2015 - Elsevier
Biometrics, an integral component of Identity Science, is widely used in several large-scale-
county-wide projects to provide a meaningful way of recognizing individuals. Among existing …

Overcoming nonlinear dynamics in diabetic retinopathy classification: a robust AI-based model with chaotic swarm intelligence optimization and recurrent long short …

YB Özçelik, A Altan - Fractal and Fractional, 2023 - mdpi.com
Diabetic retinopathy (DR), which is seen in approximately one-third of diabetes patients
worldwide, leads to irreversible vision loss and even blindness if not diagnosed and treated …

An intelligent method for iris recognition using supervised machine learning techniques

N Ahmadi, M Nilashi, S Samad, TA Rashid… - Optics & Laser …, 2019 - Elsevier
In the new millennium, with chaotic situation that exist in the world, people are threaten with
multifarious terrorist attacks. There have been several intelligent ways in order to recognize …

[图书][B] Iris biometrics: from segmentation to template security

C Rathgeb, A Uhl, P Wild - 2012 - books.google.com
Iris Biometrics: From Segmentation to Template Security provides critical analysis,
challenges and solutions on recent iris biometric research topics, including image …

Iris recognition development techniques: a comprehensive review

JR Malgheet, NB Manshor, LS Affendey - Complexity, 2021 - Wiley Online Library
Recently, iris recognition techniques have achieved great performance in identification.
Among authentication techniques, iris recognition systems have received attention very …

Conditional generative adversarial network-based data augmentation for enhancement of iris recognition accuracy

MB Lee, YH Kim, KR Park - IEEE Access, 2019 - ieeexplore.ieee.org
Presently, lots of previous studies on biometrics employ convolutional neural networks
(CNN) which requires a large amount of labeled training data. However, biometric data are …

Optimal placement and sizing of renewable distributed generations and capacitor banks into radial distribution systems

M Kumar, P Nallagownden, I Elamvazuthi - Energies, 2017 - mdpi.com
In recent years, renewable types of distributed generation in the distribution system have
been much appreciated due to their enormous technical and environmental advantages …

Toward covert iris biometric recognition: Experimental results from the NICE contests

H Proenca, LA Alexandre - IEEE Transactions on Information …, 2011 - ieeexplore.ieee.org
This paper announces and discusses the experimental results from the Noisy Iris Challenge
Evaluation (NICE), an iris biometric evaluation initiative that received worldwide participation …

[HTML][HTML] Reduction of influence of the high-frequency noise on the results of surface topography measurements

P Podulka - Materials, 2021 - mdpi.com
The influence of errors in the processes of detection and then reduction of surface
topography measurement noise is of great importance; many research papers are …