Incremental cross-domain adaptation for robust retinopathy screening via Bayesian deep learning
Retinopathy represents a group of retinal diseases that, if not treated timely, can cause
severe visual impairments or even blindness. Many researchers have developed …
severe visual impairments or even blindness. Many researchers have developed …
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 …
[PDF][PDF] Artificial Intelligence-Based Semantic Segmentation of Ocular Regions for Biometrics and Healthcare Applications.
Multiple ocular region segmentation plays an important role in different applications such as
biometrics, liveness detection, healthcare, and gaze estimation. Typically, segmentation …
biometrics, liveness detection, healthcare, and gaze estimation. Typically, segmentation …
Robust pupil segmentation using UNET and morphological image processing
The current development in image processing towards biometrics systems has opened
much research on realtime applications. The deep learning algorithms are added many …
much research on realtime applications. The deep learning algorithms are added many …
Semantic segmentation of periocular near-infra-red eye images under alcohol effects
JE Tapia, EL Droguett, A Valenzuela… - IEEE …, 2021 - ieeexplore.ieee.org
This paper proposes a new framework to detect, segment, and estimate the localization of
the eyes from a periocular Near-Infra-Red iris image under alcohol consumption. This stage …
the eyes from a periocular Near-Infra-Red iris image under alcohol consumption. This stage …
Different gaze direction (DGNet) collaborative learning for iris segmentation
M Bonyani, M Ghanbari, A Rad - International Journal of Machine …, 2024 - Springer
Segmentation of the iris plays a pivotal role in iris recognition systems, yet it remains
challenging, particularly in scenarios with noisy images from non-cooperative subjects …
challenging, particularly in scenarios with noisy images from non-cooperative subjects …
Toward an efficient iris recognition system on embedded devices
DP Benalcazar, JE Tapia, M Vasquez, L Causa… - IEEE …, 2023 - ieeexplore.ieee.org
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 …
Gesture recognition method based on attention mechanism for complex background
G Jianchun, G Jiannuan, W Lili - Journal of Physics: Conference …, 2021 - iopscience.iop.org
Human-computer interaction technology is still an unaccomplished goal due to complex
background and changeable lighting conditions. A two-stage gesture recognition method is …
background and changeable lighting conditions. A two-stage gesture recognition method is …
Black hole algorithm along edge detector and circular hough transform based iris projection with biometric identification systems
TO Qadir, N Taujuddin - … journal of electrical and computer engineering …, 2024 - hrcak.srce.hr
Sažetak The circular parameters between the pupil and the iris are found using current iris
identification techniques but the accuracy creates an issue for the detection process during …
identification techniques but the accuracy creates an issue for the detection process during …