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26 articles for “Similarity Matching”

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Research ArticleOpen accessEvery word in the titleHybrid SIFT-DCT Approach for Face Matching of BuddhaStatues: Addressing Negative Similarity Metrics with SHashingLinda Marlinda, Fikri Budiman et al.Art and cultural heritage rely on image processing techniques forpreservation and analysis. A key challenge in this study is accuratelydetecting highly similar Buddha faces despite variations in lighting, rotation,and minor facial differences. This paper proposes a Content-Based ImageRetrieval (CBIR) framework that integrates Discrete Cosine Transform(DCT) and Scale-Invariant Feature Transform (SIFT) to enhance face-matching accuracy. The system is tested on a … …Journal of Computer Science, Vol. 21, Issue 7 · 29 Jul 2025 · 3,483 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAutomatic Personal Identification Using Feature Similarity Index MatchingR. Gayathri, P. RamamoorthyProblem statement: Biometrics based personal identification is as an effective method for automatically recognizing, a person’s identity with high confidence. Palmprint is an essential biometric feature for use in access control and forensic applications. In this study, we present a multi feature extraction, based on edge detection scheme, applying Log Gabor filter to enhance image structures and suppress noise. Approach: … …American Journal of Applied Sciences, Vol. 9, Issue 5 · 2 Mar 2012 · 6,715 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Framework for MRI Image Retrieval Using Curvelet Transform and Euclidean DistanceRajakumar, MuttanContent Based Image Retrieval (CBIR) system supports users to retrieve relevant medical images based on their features. Current content based image retrieval systems are incapable of providing exact results to the users. To address this problem a consistent feature extraction method is required for content based medical image retrieval system to extract similar features from the images. In this study … …Journal of Computer Science, Vol. 9, Issue 3 · 12 Apr 2013 · 6,520 accessesView PDFCite
Research ArticleOpen accessIn the abstractPandemic Analysis and Preparedness Using a Three Layer Machine Learning ApproachArtika Singh, Manisha JailiaOutbreak analysis provides research-based information and data to enable scientific decision-making to manage an effective response to a pandemic. Pandemic analysis has its own set of challenges, such as limited data, the need for real time analysis, and the complexity of outbreak patterns. This study proposes a hybrid approach to manage such a spread through a 3-layer machine learning-based outbreak … …Journal of Computer Science, Vol. 22, Issue 11 · 15 Oct 2026 · 614 accessesView PDFCite
Research ArticleOpen accessIn the abstractKSWN (Kannada SentiWordNet): Developing a Sentiment Lexicon for Kannada using Translation and Word Embedding TechniquesRashmi Kariganuru Bheemarao, Hassan Sadashiva Guruprasad, Shambhavi Bangalore RaviOpinion Mining has gained significant attention in recent years, especially due to the enormous growth of online content generation. However, finding the opinions expressed in comments and reviews is highly challenging in Indian regional languages due to the lack of annotated datasets. Opinion mining has predominantly been conducted in English, with recent efforts extending to Hindi and other languages. A … …Journal of Computer Science, Vol. 21, Issue 6 · 4 Jul 2025 · 3,377 accessesView PDFCite
Research ArticleOpen accessIn the abstractSmart Talent Sourcing Through Advanced Skill Profiling TechniqueAmey Krishnanath Shet Tilve, Gaurang Sitaram Patkar, Vadiraj Gururaj Inamdar et al.The hiring process often struggles with aligning job seekers' skills to employers' requirements, leading to inefficiencies and mismatches. To address this challenge, a dual-functionality system is proposed that leverages Natural Language Processing (NLP) techniques, including BERT for embedding textual information and cosine similarity to rank resumes according to their alignment with job descriptions and to recommend suitable candidates to employers … …Journal of Computer Science, Vol. 21, Issue 2 · 18 Jan 2025 · 4,967 accessesView PDFCite
Research ArticleOpen accessIn the abstractSemSimp: A Parametric Method for Evaluating the Semantic Similarity of Digital ResourcesAntonio De Nicola, Anna Formica, Ida Mele, Francesco TaglinoAbioui, H., Idarrou, A., Bouzit, A., & Mammass, D. (2018). Towards a Novel and Generic Approach for OWL Ontology Weighting. Procedia Computer Science, 127, 426–435. https://doi.org/10.1016/j.procs.2018.01.140 Adhikari, A., Dutta, B., Dutta, A., Mondal, D., & Singh, S. (2018). An intrinsic information content-based semantic similarity measure considering the disjoint common subsumers of concepts of an ontology. Journal of the Association for … …Journal of Computer Science, Vol. 20, Issue 8 · 27 May 2024 · 5,773 accessesView PDFCite
Research ArticleOpen accessIn the abstractArabic Personal Name Matching: Names Written using Latin AlphabetAttia Nehar, Slimane Bellaouar, Djelloul Ziadi, Khaled Moulay OmarAbstract: In many Arab countries’ public administrations, Arabic personal names are written with Latin alphabet, generally, in various ways by different writers. This has led to many problems when it comes to connecting these administrations. The aim of this study was to propose two new approaches for the pairwise matching of Arabic personal names. The first approach is based on … …Journal of Computer Science, Vol. 17, Issue 9 · 29 Sep 2021 · 7,602 accessesView PDFCite
Research ArticleOpen accessIn the abstractOmni-Zernike Algorithm for Template Matching in Catadioptric SystemAnisse Khald, Amina Radgui, Mohammed RzizaImage descriptor have been widely applied in many computer visions and image understanding applications including pattern recognition, robotic, video surveillance, camera calibration and image retrieval, etc. Invariants features are robust when apply several transformations of photometry (illumination, blur, noise, JPEG compression) and transformations of geometry (scaling, rotation, translation and viewpoint change). In this study, we present representation and matching region … …Journal of Computer Science, Vol. 16, Issue 12 · 30 Dec 2020 · 6,501 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Better Approach to Ontology Integration using Clustering Through Global Similarity MeasureAshwin Makwana, Amit GanatraKnowledge representation is a crucial area of work in the intelligent system, especially in query answering system development. Ontology is used to represent shared knowledge of a particular domain for query answering system. Domain-specific ontology can be designed and developed by many groups and researchers, because of which there is heterogeneity in the knowledgebase. Ontology integration or merging is necessary … …Journal of Computer Science, Vol. 14, Issue 6 · 25 Jun 2018 · 8,227 accessesView PDFCite