Accurate iris segmentation and recognition using an end-to-end unified framework based on MADNet and DSANet
Y Chen, H Gan, H Chen, Y Zeng, L Xu, AA Heidari… - Neurocomputing, 2023 - Elsevier
Due to their insufficient generalization ability, iris segmentation algorithms based on deep
learning cannot accurately segment iris images without corresponding ground truth (GT) …
learning cannot accurately segment iris images without corresponding ground truth (GT) …
Towards complete and accurate iris segmentation using deep multi-task attention network for non-cooperative iris recognition
Iris images captured in non-cooperative environments often suffer from adverse noise, which
challenges many existing iris segmentation methods. To address this problem, this paper …
challenges many existing iris segmentation methods. To address this problem, this paper …
Deep learning for iris recognition: a review
Y Yin, S He, R Zhang, H Chang, X Han… - arxiv preprint arxiv …, 2023 - arxiv.org
Iris recognition is a secure biometric technology known for its stability and privacy. With no
two irises being identical and little change throughout a person's lifetime, iris recognition is …
two irises being identical and little change throughout a person's lifetime, iris recognition is …
Iris segmentation in uncooperative and unconstrained environments: state-of-the-art, datasets and future research directions
Most of the classical iris recognition systems require cooperation from users and assume
ideal conditions during iris image acquisition. In uncooperative and unconstrained …
ideal conditions during iris image acquisition. In uncooperative and unconstrained …
Ssbc 2020: Sclera segmentation benchmarking competition in the mobile environment
The paper presents a summary of the 2020 Sclera Segmentation Benchmarking
Competition (SSBC), the 7th in the series of group benchmarking efforts centred around the …
Competition (SSBC), the 7th in the series of group benchmarking efforts centred around the …
Framework for biometric iris recognition in video, by deep learning and quality assessment of the iris-pupil region
In the current world scenario the influence of the COVID19 pandemic has reached universal
proportions affecting almost all countries. In this sense, the need has arisen to wear gloves …
proportions affecting almost all countries. In this sense, the need has arisen to wear gloves …
CNN‐based off‐angle iris segmentation and recognition
Accurate segmentation and parameterisation of the iris in eye images still remain a
significant challenge for achieving robust iris recognition, especially in off‐angle images …
significant challenge for achieving robust iris recognition, especially in off‐angle images …
OcularSeg: Accurate and Efficient Multi-Modal Ocular Segmentation in Non-Constrained Scenarios
Y Zhang, C Wang, H Li, X Sun, Q Tian, G Zhao - Electronics, 2024 - mdpi.com
Multi-modal ocular biometrics has recently garnered significant attention due to its potential
in enhancing the security and reliability of biometric identification systems in non …
in enhancing the security and reliability of biometric identification systems in non …
Fast iris segmentation algorithm for visible wavelength images based on multi-color space
Iris recognition for eye images acquired in visible wavelength is receiving increasing
attention. In visible wavelength environments, there are many factors that may cover or affect …
attention. In visible wavelength environments, there are many factors that may cover or affect …
Toward an efficient iris recognition system on embedded devices
Iris Recognition (IR) is one of the market's most reliable and accurate biometric systems.
Today, it is challenging to build NearInfraRed (NIR) capturing devices under the premise of …
Today, it is challenging to build NearInfraRed (NIR) capturing devices under the premise of …