Visible wavelength iris segmentation: a multi-class approach using fully convolutional neuronal networks
D Osorio-Roig, C Rathgeb… - … Conference of the …, 2018 - ieeexplore.ieee.org
Iris segmentation under visible wavelengths (VWs) is a vital processing step for iris
recognition systems operating ata-distance or in non-cooperative environments. In these …
recognition systems operating ata-distance or in non-cooperative environments. In these …
Iris recognition in visible wavelength: Impact and automated detection of glasses
The prevalence of visual impairment around the world is rapidly increasing, causing large
numbers of people to wear glasses. Glasses are generally considered an important noise …
numbers of people to wear glasses. Glasses are generally considered an important noise …
Multi-spectral iris segmentation in visible wavelengths
While traditional iris recognition systems operate using near-infrared images, visible
wavelength approaches have gained attention in recent years due to a variety of reasons …
wavelength approaches have gained attention in recent years due to a variety of reasons …
Recent trends of ROI segmentation in iris biometrics: a survey
Segmentation in iris biometrics deals with the localisation of inner and outer boundaries of
the iris and isolation of the region of interest (ROI) from the input eye image. The isolated …
the iris and isolation of the region of interest (ROI) from the input eye image. The isolated …
Iris recognition with image segmentation employing retrained off-the-shelf deep neural networks
This paper offers three new, open-source, deep learning-based iris segmentation methods,
and the methodology how to use irregular segmentation masks in a conventional Gabor …
and the methodology how to use irregular segmentation masks in a conventional Gabor …
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 …
U-Net convolutional neural network for multisource heterogeneous iris segmentation
VI D'Alessandro, L De Palma… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Accurate iris segmentation is a critical step in various applications, from biometric
identification systems to ophthalmic disease diagnosis. Despite the large number of works …
identification systems to ophthalmic disease diagnosis. Despite the large number of works …
Deep learning-based iris segmentation for iris recognition in visible light environment
Existing iris recognition systems are heavily dependent on specific conditions, such as the
distance of image acquisition and the stop-and-stare environment, which require significant …
distance of image acquisition and the stop-and-stare environment, which require significant …
Visible spectral Iris segmentation via deep convolutional network
Y He, S Wang, K Pei, M Liu, J Lai - … 2017, Shenzhen, China, October 28-29 …, 2017 - Springer
Iris segmentation is the prerequisite for the precise iris recognition. Visible spectral iris
images may result in lower segmentation accuracy due to noise interference. We use deep …
images may result in lower segmentation accuracy due to noise interference. We use deep …
Semantic segmentation of color eye images for improving iris segmentation
D Osorio-Roig, A Morales-González… - … Congress on Pattern …, 2017 - Springer
Iris segmentation under visible spectrum (VIS) is a topic that has been gaining attention in
many researches in the last years, due to an increasing interest in iris recognition at-a …
many researches in the last years, due to an increasing interest in iris recognition at-a …