[HTML][HTML] Modeling the effect of implementation of artificial intelligence powered image analysis and pattern recognition algorithms in concrete industry
AI-powered image analysis and pattern recognition algorithms (IAPRA) are renowned for
their capacity to identify concrete flaws, assess strength characteristics, and anticipate the …
their capacity to identify concrete flaws, assess strength characteristics, and anticipate the …
Detection of iris presentation attacks using feature fusion of thepade's sorted block truncation coding with gray-level co-occurrence matrix features
Iris biometric detection provides contactless authentication, preventing the spread of COVID-
19-like contagious diseases. However, these systems are prone to spoofing attacks …
19-like contagious diseases. However, these systems are prone to spoofing attacks …
Fusion of speech and handwritten signatures biometrics for person identification
AAM Abushariah, MAM Abushariah… - International Journal of …, 2023 - Springer
Automatic person identification (API) using human biometrics is essential and highly
demanded compared to traditional API methods, where a person is automatically identified …
demanded compared to traditional API methods, where a person is automatically identified …
Performance of GLCM algorithm for extracting features to differentiate normal and abnormal brain images
Brain cancer is a malignant brain tumor that can spread quickly to other parts of the brain
and spine. However, not all tumors are malignant and can be treated before they become …
and spine. However, not all tumors are malignant and can be treated before they become …
Analysis of features extraction performance to differentiate of dental caries types using gray level co-occurrence matrix algorithm
This study analyzes the features extraction performance of dental caries image using Gray
Level Cooccurrence Matrix (GLCM) algorithm for contrasted two types of caries is based on …
Level Cooccurrence Matrix (GLCM) algorithm for contrasted two types of caries is based on …
Application of Watershed Algorithm and Gray Level Co-Occurrence Matrix in Leukemia Cells Images
Y Jusman, LA Dewiprabamukti… - 2020 3rd …, 2020 - ieeexplore.ieee.org
A long with the development of technology, the image of a sample of leukemia can be
digitally processed to reduce the level of human error in diagnosing the disease. This …
digitally processed to reduce the level of human error in diagnosing the disease. This …
Iris recognition method based on segmentation
AI Mahameed, MK Ahmed… - EUREKA: Physics and …, 2022 - papers.ssrn.com
The development of science and studies has led to the creation of many modern means and
technologies that focused and directed their interests on enhancing security due to the …
technologies that focused and directed their interests on enhancing security due to the …
Comparison of spine curvature images classification using support vector machine and K-nearest neighbors
The spine is one part of the human axial skeleton that serves as the body's primary support.
Hence, the health of the spine must be considered. The most common spinal abnormality is …
Hence, the health of the spine must be considered. The most common spinal abnormality is …
Feature extraction performance to differentiate spinal curvature types using gray level co-occurrence matrix algorithm
Spinal curvature type can be detected from digital X-ray images. Experts diagnose spinal
curvature for a long time to obtain accurate results. This research aims to analyze the use of …
curvature for a long time to obtain accurate results. This research aims to analyze the use of …
[PDF][PDF] Fusion of Gabor filter and steerable pyramid to improve iris recognition system
M Radouane, NI Zouggari, A Amraoui… - Int J Artif Intell …, 2022 - academia.edu
Iris recognition system is a technique of identifying people using their distinctive features.
Generally, this technique is used in security, because it offers a good reliability. Different …
Generally, this technique is used in security, because it offers a good reliability. Different …