International Journal For Multidisciplinary Research

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Semantic Segmentation of Ocular Regions Using Artificial Intelligence for Biometric and Medical Uses

Author(s) Dr. Nirgish Kumar, Komal, Dr. C.S. Raghuvamshi
Country India
Abstract Segmenting multiple ocular regions is crucial for a variety of applications, including gaze estimation, liveness detection, biometrics, and healthcare. Segmentation methods usually concentrate on one area of the eye at a time. Very little research has been done on some areas of the eye, despite the many clear benefits. Similarly, in difficult situations with blur, ghost effects, low resolution, off-angles, and odd glints, precise segmentation of several eye regions is required. These limitations cannot currently be addressed by the segmentation techniques that are available. This research proposes a lightweight outer residual encoder-decoder network that can be used with a variety of sensor images in order to accurately segment multiple eye regions in unconstrained circumstances. The suggested technique uses the high-frequency information flow from the outer residual encoder-decoder deep convolutional neural network (named ORED-Net) to identify the actual borders of the eye regions from low-quality photos. Furthermore, the performance of the suggested ORED-Net model is not enhanced by network depth, complexity, or parameter count. The suggested network weighs significantly less than earlier cutting-edge models. Extensive studies were conducted utilizing the SBVPI and UBIRIS.v2 datasets, which contain images of the eye Semantic Segmentation of Ocular Regions Using Artificial Intelligence for Biometric and Medical Uses The Tech Science Pressgion, and ideal performance was attained. The mean intersection over union score (mIoU) of the simulation results produced by the suggested ORED Net on the difficult SBVPI and UBIRIS.v2 datasets was 89.77 and 87.27, respectively.
Keywords Keywords: Deep Learning, Sensors, Biometrics, Medical Uses, Semantic Segmentation, and Ocular Regions.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 3, May-June 2025
Published On 2025-05-13
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