Iris recognition development techniques: a comprehensive review
Recently, iris recognition techniques have achieved great performance in identification.
Among authentication techniques, iris recognition systems have received attention very …
Among authentication techniques, iris recognition systems have received attention very …
Consumers' attitude toward biometric banking services: an empirical evaluation of determinants and outcomes
The study aims to evaluate consumers' attitudes toward the biometric technology and to
investigate how these authentication technologies influence the intention to use such …
investigate how these authentication technologies influence the intention to use such …
Towards more accurate and efficient human iris recognition model using deep learning technology
BKOC Alwawi… - … Computing Electronics and …, 2022 - telkomnika.uad.ac.id
In this study, an end-to-end human iris recognition system is presented to automatically
identify individuals for high level of security purposes. The deep learning technology based …
identify individuals for high level of security purposes. The deep learning technology based …
An efficient and accurate iris recognition algorithm based on a novel condensed 2-ch deep convolutional neural network
Recently, deep learning approaches, especially convolutional neural networks (CNNs),
have attracted extensive attention in iris recognition. Though CNN-based approaches …
have attracted extensive attention in iris recognition. Though CNN-based approaches …
A survey on fatigue detection of workers using machine learning
In the software industry, where the quality of the output is based on human performance,
fatigue can be a reason for performance degradation. Fatigue not only degrades quality, but …
fatigue can be a reason for performance degradation. Fatigue not only degrades quality, but …
Fast Iris localization using Haar-like features and AdaBoost algorithm
Traditional iris recognition methods, which are still preferred against artificial intelligence (AI)
approaches in practical applications, are often required to capture high-grade iris samples …
approaches in practical applications, are often required to capture high-grade iris samples …
[HTML][HTML] Deep iris: deep learning for gender classification through iris patterns
Aim: To Identify a person's gender from an iris image when such identification is related to
security surveillance systems and forensics applications. Methods: In this paper, a robust iris …
security surveillance systems and forensics applications. Methods: In this paper, a robust iris …
Deep residual CNN-based ocular recognition based on rough pupil detection in the images by NIR camera sensor
Accurate segmentation of the iris area in input images has a significant effect on the
accuracy of iris recognition and is a very important preprocessing step in the overall iris …
accuracy of iris recognition and is a very important preprocessing step in the overall iris …
Enhancing human iris recognition performance in unconstrained environment using ensemble of convolutional and residual deep neural network models
Despite the prominent advancements in iris recognition, unconstrained image acquisition
through heterogeneous sensors has been a major obstacle in applying it for large-scale …
through heterogeneous sensors has been a major obstacle in applying it for large-scale …
Ms-net: Multi-segmentation network for the iris region using deep learning in an unconstrained environment
Iris segmentation is a significant phase in the iris recognition process because segmentation
errors cascade into all subsequent phases. Therefore, it is important that errors in iris …
errors cascade into all subsequent phases. Therefore, it is important that errors in iris …