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Finger Vein Recognition Based on a Histogram of Competitive Gabor Directional Binary Statistics
Traditional methods of extracting finger vein texture changes and orientation features are susceptible to illumination, translation, noise, and rotation, and the process has difficulty directly extracting structural features...
Rotational Invariance Using Gabor Convolution Neural Network and Color Space for Image Processing
Convolutional neural networks (CNNs) are deep learning methods that are utilized in image processing such as image classification and recognition. It has achieved excellent results in various sectors; however, it still lacks...
Dissociation between perception and smooth pursuit eye movements in speed judgments of moving Gabor targets.
Anna E Hughes
Apr 23, 2018
The relationship between eye movements and subjective perception is still relatively poorly understood. In this study, participants tracked the movement of a Gabor patch and made perceptual judgments of its speed using a...
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A Hybrid Moth-Flame Optimization Technique for Feature Selection in Brain Image Classification and Image Denoising by Improved Log Gabor Filter
P. Diaz, M. Jiju
Jan 01, 2022
In brain image classification, feature set reduction is essential to build an optimised feature subset that will lead to precise measurement. In this paper, an improved technique for feature selection by Moth Flame Optimization...
Cross-country evidence on the social determinants of the post-socialist mortality crisis in Europe
An unprecedented mortality crisis befell the former socialist countries between 1989 and 1995, representing one of the greatest demographic shocks of the period after the Second World War. While it is likely that country-level...
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Mapping Materials and Molecules.
The visualization of data is indispensable in scientific research, from the early stages when human insight forms to the final step of communicating results. In computational physics, chemistry and materials science, it can be...
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Adaptive Active Contour Model for Brain Tumor Segmentation
For accurately diagnosing the severity of brain tumors in MRI images, Glioma segmentation is a significant step. The Glioma segmentation is due to noise and weak edges of organs in medical images. The geodesic active contour...
Biologically-Inspired Motion Encoding for Robust Global Motion Estimation.
The growing use of cameras embedded in autonomous robotic platforms and worn by people is increasing the importance of accurate global motion estimation (GME). However, existing GME methods may degrade considerably under...
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Deep-Analysis of Palmprint Representation Based on Correlation Concept for Human Biometrics Identification
The security of people requires a beefy guarantee in our society, particularly, with the spread of terrorism throughout the world. In this context, palmprint identification based on texture analysis is amongst the pattern...
Phenotypic convergence of Menkes and Wilson disease.
Menkes disease is an X-linked multisystem disorder with epilepsy, kinky hair, and neurodegeneration caused by mutations in the copper transporter ATP7A. Other ATP7A mutations have been linked to juvenile occipital horn syndrome...
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Primary Mobile Image Analysis of Human Intestinal Worm Detection
One among a lot of public health concerns in rural and tropical areas is the human intestinal parasite. Traditionally, diagnosis of these parasites is by visual analysis of stool specimens, which is usually tedious and...
A State-of-the-Art Survey on Face Recognition Methods
Face Recognition is an efficient technique and one of the most liked biometric software application for the identification and verification of specific individual in a digital image by analysing and comparing patterns. This...
Nasal patches and curves for expression-robust 3D face recognition
The potential of the nasal region for expression robust 3D face recognition is thoroughly investigated by a novel five-step algorithm. First, the nose tip location is coarsely detected and the face is segmented, aligned and the...
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