Research ArticleOpen accessIn the keywordsA Tool to Develop Arabic Handwriting Recognition System Using Genetic ApproachHanan Aljuaid, Zulkifli Muhammad, Muhammad SarfrazProblem statement: Significant movement has been made in handwriting recognition technology over the last few years. Up until now, Arabic handwriting recognition systems have been limited to small and medium vocabulary applications, since most of them often rely on a database during the recognition process. The facility of dealing with large database, however, opens up many more applications. Approach: This … …Journal of Computer Science, Vol. 6, Issue 6 · 30 Jun 2010 · 7,525 accessesView PDFCite
Research ArticleOpen accessIn the keywordsComputer-Aided Design Data Extraction Approach to Identify Product InformationMohamad Faizal Ab. Jabal, Mohd. Shafry Mohd. Rahim, Nur Zuraifah Syazrah Othman, Daut DamanProblem statement: Many approaches have been proposed in previous such as AUTOFEAT algorithm, feature recognition, Intelligent Feature Recognition Methodology (IFRM), a part recognition algorithm and graph theory-based approach in order to solve the integration issue between CAD and CAM. However, there is no direct connection from CAD database and machine database. Therefore, comparison among the approaches has been conducted because … …Journal of Computer Science, Vol. 5, Issue 9 · 30 Sep 2009 · 7,170 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIris Recognition Using Discrete Cosine Transform and Artificial Neural NetworksAhmad M. SarhanProblem statement: The study presented an efficient Iris recognition system. Approach: The design used the discrete cosine transform for feature extraction and artificial neural networks for classification. The iris images used in this system were obtained from the CASIA database. Results: A robust system for iris recognition was developed. Conclusion: An iris recognition system that produces very low error rates … …Journal of Computer Science, Vol. 5, Issue 5 · 30 May 2009 · 7,751 accessesView PDFCite
Research ArticleOpen accessIn the keywordsNovel Moment Features Extraction for Recognizing Handwritten Arabic LettersGheith Abandah, Nasser AnssariProblem statement: Offline recognition of handwritten Arabic text awaits accurate recognition solutions. Most of the Arabic letters have secondary components that are important in recognizing these letters. However these components have large writing variations. We targeted enhancing the feature extraction stage in recognizing handwritten Arabic text. Approach: In this study, we proposed a novel feature extraction approach of handwritten Arabic … …Journal of Computer Science, Vol. 5, Issue 3 · 31 Mar 2009 · 7,495 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Improved Handwritten Tamil Character Recognition System using Octal GraphR. J. Kannan, R. PrabhakarProblem Statement: Handwriting recognition has attracted voluminous research in recent times. The segmentation and recognition of the characters from handwritten scripts incorporates considerable overhead. Almost all the existing handwritten character recognition techniques use neural network approach, which requires lot of preprocessing and hence accomplishing these problems using neural network is a tedious task. Approach: In this study we propose a … …Journal of Computer Science, Vol. 4, Issue 7 · 31 Jul 2008 · 7,405 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Survey of Content-Based Video RetrievalP. Geetha, Vasumathi NarayananThis study surveys current trends/methods in video retrieval. The major themes covered by the study include shot segmentation, key frame extraction, feature extraction, clustering, indexing and video retrieval-by similarity, probabilistic, transformational, refinement and relevance feedback. This work has done in an aim to assist the upcoming researchers in the field of video retrieval, to know about the techniques and methods … …Journal of Computer Science, Vol. 4, Issue 6 · 30 Jun 2008 · 8,579 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFace Recognition Based on Nonlinear Feature ApproachEimad E.A. Abusham, Andrew T.B. Jin, Wong E. Kiong, G. DebashisFeature extraction techniques are widely used to reduce the complexity high dimensional data. Nonlinear feature extraction via Locally Linear Embedding (LLE) has attracted much attention due to their high performance. In this paper, we proposed a novel approach for face recognition to address the challenging task of recognition using integration of nonlinear dimensional reduction Locally Linear Embedding integrated with Local … …American Journal of Applied Sciences, Vol. 5, Issue 5 · 31 May 2008 · 6,520 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA 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 · 5,251 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImage Super-Resolution using Auto-Encoders with Parallel Skip-ConnectionsLisha Pulickal Purushothaman, Jayasree Vadakke KadangoteSuper-resolutionimages are highly desired when employed for numerous analytical purposes andobviously because of their superior attractive visual effect. To create aHigh-Resolution (HR) image from one or more Low-Resolution (LR) images, animage super-resolution technique is used. When dealing with naturalenvironments and settings, it is not always easy to access high-resolutionimages. The main barriers to the same are limitations in acquisition methods.In … …Journal of Computer Science, Vol. 18, Issue 11 · 11 Nov 2022 · 6,081 accessesView PDFCite