Research ArticleOpen accessIn the abstractOptical Character Recognition System for Arabic Text Using Cursive Multi-Directional ApproachMansoor Al-A'ali, Jamil AhmadThis paper presents a novel new technique based on feature extraction and on dynamic cursor sizing for the recognition of Arabic Text. The most challenging area in Arabic OCR (AOCR) research is the segmentation of words into their sub-words and their individual characters. Several rules are defined that govern the size and movement of the cursor through each segment. The … …Journal of Computer Science, Vol. 3, Issue 7 · 31 Jul 2007 · 6,975 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification of Squamous Cell Carcinoma Based On Color and Textural Features in Microscopic Images of Esophagus TissuesP. S. Hiremath, Y. Humnabad Iranna, Jagadeesh D. PujariThis paper presents a method for feature extraction using color and texture from microscopic images of esophagus tissues obtained from the abnormal regions of human esophagus detected through endoscopy. This method is used for classification of Squamous Cell Carcinoma (SCC) of esophagus, namely, poorly differentiated SCC, moderately differentiated SCC, and well differentiated SCC. Three different color spaces, namely, HSV, YCbCr, … …Journal of Computer Science, Vol. 3, Issue 7 · 31 Jul 2007 · 6,881 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordExplainable MedAttn-ResNet50 for Automated Kidney Tumor Classification from CT Images With Grad-CAM VisualizationD. Vetrithangam, Pramod Kumar, Shilpasree S. et al.Kidney tumor classification from CT imaging remains challenging due to CT-specific intensity variations, tumor heterogeneity, and limited clinically meaningful interpretability in existing deep learning models. To address these limitations, we propose an Explainable MedAttn-ResNet50 framework that integrates radiology-driven preprocessing, multi-scale feature extraction, and medical attention mechanisms within a unified architecture. The preprocessing pipeline applies radiology-inspired intensity normalization, contrast enhancement, and … …Journal of Computer Science, Vol. 22, Issue 8 · 13 Aug 2026 · 1,127 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAuto Weight Dilated Convolutional Ensemble Network for the Severity Analysis of Lung Cancer in CT ImagesL. Sandhya, K. MarimuthuLung cancer is one of the world's leading causes of morbidity and mortality; improving patient outcomes requires an early and precise diagnosis. Lesion and tumor segmentation remains a challenging task in CT images due to their inherent imaging limitations, such as the small size of nodules, heterogeneous textures, blurry boundaries, and adjacent structures, leading to misclassification and difficulty in delineating … …Journal of Computer Science, Vol. 22, Issue 1 · 9 Feb 2026 · 1,550 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDeep Learning Approaches for Early Detection of Skin Cancer Disease Detection Using Segmentation and Classification with Severity AnalysisPunam R. Patil, Ritu TandonThe utmost prevalent type of the disease, skin cancer claims millions of lives every year, poses a serious public health threat particularly melanoma, which is often fatal if not detected early. Early diagnosis is crucial, yet traditional methods frequently fall short due to image quality limitations and the complexity of visual differentiation. With an emphasis on severity analysis, this study … …Journal of Computer Science, Vol. 21, Issue 9 · 24 Nov 2025 · 2,058 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEnhancing Semantic Web Retrieval Through Ontology-Driven Feature Extraction: A Novel PropositionMeer Hazar Khan, Muhammad Imran Sharif, Mehwish Mehmood et al.Web images represent unstructured data sets which often lead to challenges when users try to locate distinct images via text-based searches on the web. Such difficulties stem from different factors, e.g., redundant image storage, irrelevant metadata tags, and incorrect associations. To overcome this issue, we propose a semantic model based on the ontology language that enables users to find images … …Journal of Computer Science, Vol. 20, Issue 5 · 23 Feb 2024 · 5,566 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Hybrid Metaheuristic Algorithm for Diseases Classification Using UAV ImagesYagnasree Sirivella, Anuj JainRecent advances in technology are very astounding since they have made it possible to manage and monitor systems remotely. Traditional farming is undergoing a transition towards "smart farming" with the assistance of technological breakthroughs, which include the implementation of intelligent irrigation systems and the remote monitoring of the development of crops. In particular, the Unmanned Aerial Vehicle plays a significant … …Journal of Computer Science, Vol. 19, Issue 10 · 11 Sep 2023 · 5,253 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordHuman Iris Recognition Based on Hybrid TechniqueAsaad Noori Hashim, Bushraa Mahdi Al-HashimiIris recognition is a biometric technique that uses iris pattern information to detect person identification. Initially, the system find out the boundary of the pupil and iris. Then, Circular Hough transform used to find out the center of both pupil and iris in order to crop iris part from the eye image. After that, Daugman’s Rubber Sheet model utilized for … …Journal of Computer Science, Vol. 15, Issue 12 · 4 Dec 2019 · 7,807 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEnhancing Pedestrian Detection Using Context InformationJorge Candido, Mauricio MarengoniDetecting pedestrians among other objects in a digital image is a relevant task in the field of computer vision. This paper presents a method to improve the performance of a pedestrian detection algorithm using context information. A neural network is used to classify the region below pedestrian candidates as being floor or non-floor. We assume that a pedestrian must be … …Journal of Computer Science, Vol. 14, Issue 7 · 6 Aug 2018 · 7,224 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAutomatic Recognition System of Vehicle Plate for Recording Incoming Vehicles to the University Campus and the OutgoingA.A. El-Harby, G.M. Behery, A.A. Al-DhawiAutomatic recognition of vehicle plate characters became a very important in our daily life because of the unlimited increase of vehicles that enter or leave a supervised area. This paper describes an automatic intelligent system that captures the images of vehicles and has the ability to recognize the plates of vehicles entering the university campus or leaving. A camera is … …American Journal of Applied Sciences, Vol. 14, Issue 4 · 12 Apr 2017 · 7,682 accessesView PDFCite