Results 11 to 20 of about 161,243 (325)

Open‐set iris recognition based on deep learning

open access: yesIET Image Processing, 2022
The existing iris recognition methods offer excellent recognition performance for known classes, but they do not consider the rejection of unknown classes. It is important to reject an unknown object class for a reliable iris recognition system.
Jie Sun   +4 more
doaj   +1 more source

Recent Iris and Ocular Recognition Methods in High- and Low-Resolution Images: A Survey

open access: yesMathematics, 2022
Among biometrics, iris and ocular recognition systems are the methods that recognize eye features in an image. Such iris and ocular regions must have a certain image resolution to achieve a high recognition performance; otherwise, the risk of performance
Young Won Lee, Kang Ryoung Park
doaj   +1 more source

Iris Recognition Development Techniques: A Comprehensive Review

open access: yesComplexity, 2021
Recently, iris recognition techniques have achieved great performance in identification. Among authentication techniques, iris recognition systems have received attention very much due to their rich iris texture which gives robust standards for ...
Jasem Rahman Malgheet   +2 more
doaj   +1 more source

Enhanced Iris Recognition Method by Generative Adversarial Network-Based Image Reconstruction

open access: yesIEEE Access, 2021
Iris recognition is one of the non-contact biometric identification methods that are hygienic and highly accurate. Iris recognition involves using iris images obtained by a near-infrared (NIR) camera or a visible light camera.
Min Beom Lee   +3 more
doaj   +1 more source

Comparing the legendre wavelet filter and the gabor wavelet filter for feature extraction based on iris recognition system [PDF]

open access: yes, 2020
Iris recognition system is today among the most reliable form of biometric recognition. Some of the reasons why the iris recognition system is reliable include; Iris never changes due to ageing and individual can be recognized with their irises from ...
Danlami, Muktar   +3 more
core   +1 more source

Review of Heterogeneous Iris Recognition [PDF]

open access: yesJisuanji kexue
The variations in iris image acquisition environment and devices result in significant disparities in iris registration and recognition samples,which brings challenges to the traditional iris recognition technology.Heterogeneous iris recognition has ...
KONG Jialin, ZHANG Qi, WANG Caiyong
doaj   +1 more source

Feature Encoding and Selection for Iris Recognition Based on Variable Length Black Hole Optimization

open access: yesComputers, 2022
Iris recognition as a biometric identification method is one of the most reliable biometric human identification methods. It exploits the distinctive pattern of the iris area.
Tara Othman Qadir Saraf   +2 more
doaj   +1 more source

Deep Residual CNN-Based Ocular Recognition Based on Rough Pupil Detection in the Images by NIR Camera Sensor

open access: yesSensors, 2019
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 recognition process.
Young Won Lee   +4 more
doaj   +1 more source

Multi-Source Feature Fusion and Entropy Feature Lightweight Neural Network for Constrained Multi-State Heterogeneous Iris Recognition

open access: yesIEEE Access, 2020
Current iris recognition technology faces practical difficulties. For example, due to the unsteady morphology of a heterogeneous iris generated by a variety of different devices and environments, the traditional processing methods of statistical learning
Liu Shuai   +8 more
doaj   +1 more source

A Brief Survey on Modern Iris Feature Extraction Methods [PDF]

open access: yesEngineering and Technology Journal, 2021
This paper presents a survey of some of the most recent research work on the extraction phase of the Iris recognition system. Iris biometric system has been used for person recognition in wide applications where person identity authentication required ...
Hanaa M. Ahmed, Mohammed A. Taha
doaj   +1 more source

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