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IrisSeg-drunk: enhanced iris segmentation and classification of drunk individuals using Modified Circle Hough Transform
The field of biometrics has become increasingly intriguing due to the significant amount of research being conducted on Iris Recognition (IR) in...
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Pupil Center Localization Using SOMA and CNN
We present a new method for eye pupil detection in images. The algorithm runs in two steps. Firstly, a reasonable number of good candidates for...
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An effective segmentation method for iris recognition based on fuzzy logic using visible feature points
In this paper, the edge corners (ECs) are proposed as new visible feature points located at the edges of visible iris features such as crypts,...
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A Stereo Matching Method for Three-Dimensional Eye Localization of Autostereoscopic Display
In order to reduce crosstalk and support dynamic viewing, the mainstream autostereoscopic display technology requires high-precision...
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An adaptive localization of pupil degraded by eyelash occlusion and poor contrast
The inner boundary of iris represents the pupil’s edge. Hence, to work an Iris Recognition System (IRS) and the gaze tracking system expeditiously it...
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Real-time accurate eye center localization for low-resolution grayscale images
Eye center localization is considered a crucial step for many human–computer interaction (HCI) real-time applications. Detecting the center of eye...
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Pterygium-Net: a deep learning approach to pterygium detection and localization
Automatic pterygium detection is an essential screening tool for health community service groups. It allows non-expert to perform screening process...
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Design and development of an integrated approach towards detection and tracking of iris using deep learning
Iris detection and tracking play an essential role in a wide range of real-world applications, including tracking gaze, biometric authentication,...
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Autism detection in children based on facial image data using RPY axial facial features and Dual Phase Net model
Autism Spectrum Disorder (ASD) causing problems in social interaction and communication. Numerous studies for detecting autism in children result in...
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MCAD: Multi-classification anomaly detection with relational knowledge distillation
With the wide application of deep learning in anomaly detection (AD), industrial vision AD has achieved remarkable success. However, current AD...
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Gaze Stability During Ocular Proton Therapy: Quantitative Evaluation Based on Eye Surface Surveillance Videos
Ocular proton therapy (OPT) is acknowledged as a therapeutic option for the treatment of ocular melanomas. OPT clinical workflow is deeply based on...
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An AVOA-LSTM with MRCNN for segmenting and classifying the sunglass image-based eye region identification
The recognition of the eye region from images is a challenging task, particularly when dealing with dark or thick sunglasses that cause reflections...
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Human iris feature extraction under pupil size variation using local texture descriptors
The human iris texture is one of the most reliable biometric traits because it is unique, and the iris pattern remains stable for years. However,...
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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...
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Hybrid regression and isophote curvature for accurate eye center localization
The eye center localization is a crucial requirement for various human-computer interaction applications such as eye gaze estimation and eye...
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Convolutional Neural Network Approach for Iris Segmentation
Iris segmentation is the initial step for recognition or authentication tasks. In the proposed work, segmentation of iris region is performed using...
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A real-time high precision eye center localizer
Precise eye center localization remains a very promising but challenging task, while its real-time performance constitutes a critical constraint in...
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Eye Centre Localisation with Convolutional Neural Networks in High- and Low-Resolution Images
Eye centre localisation is critical to eye tracking systems of various forms and with applications in variety of disciplines. An active eye tracking...
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Pupil Segmentation Method Based on Treasure Theory and Region Growing
Aiming at the problems of blurred pupil edge and occlusion of upper and lower eyelids in low resolution images, a heuristic pupil region segmentation...
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Pupil Localization Using Geodesic Distance
The main contributions of the presented paper can be summarized as follows. Firstly, we introduce a unique and robust dataset of human eyes that can...