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12 results for “handwritten characters”
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Research ArticleOpen accessPhrase in the titleHandwritten Characters Extraction from Form Based on Line Shape CharacteristicsAli Qusay Al-Faris, Dzulkifli Mohamad, Umi Kalthum Ngah, Nor Ashidi Mat IsaProblem statement: Data entry form is a convenient and successful tool for information collection by filling in the sheets using pen and handwriting. One of the most important fields in these forms is the data filled boxes. Extracting the handwriting from the data entry forms is important for many purposes such as in documenting and archiving. The extraction process is … …Journal of Computer Science, Vol. 7, Issue 12 · 15 Oct 2011 · 7,934 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePerformance Comparison of Different Image Sizes for Recognizing Unconstrained Handwritten Tamil Characters using SVMN. Shanthi, K. DuraiswamyThis study describes a system for recognizing offline handwritten Tamil characters using Support Vector Machine (SVM). Data samples are collected from different writers on A4 sized documents. They are scanned using a flat bed scanner at a resolution of 300 dpi and stored as grey scale images. Various preprocessing operations are performed on the digitized image to enhance the quality … …Journal of Computer Science, Vol. 3, Issue 9 · 30 Sep 2007 · 7,008 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMultilevel Classifier in Recognition of Handwritten Arabic CharactersRawan Ismail Zaghloul, Enas Faisal AlRawashdeh, Dojanah Mohammad Kadri BaderProblem statement: Arabic offline handwriting recognition is considered one of the most challenging topics. This is probably caused by the fact that Arabic recognition system faced many problems during the development stage. It faces the usual problems of character recognition in general, in addition to the problems that are specific to Arabic language only. The aim of this study was … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 7,005 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving the Eastern Arabic Hand Written Digits Recognition Using Deep LearningHamdy Morsy, Hashim M. Hasanien et al.Convolutional neural networks CNNs or simply deep learning was designed for the challenging of object recognition such as digits, characters and even objects that can be classified. The deep convolutional networks are designed to be trained through using a large dataset of the classes. The degree of complexity of recognizing handwritten digits are different from person to person and even … …Journal of Computer Science, Vol. 21, Issue 6 · 27 May 2025 · 4,930 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Comprehensive Overview of Handwritten Recognition Techniques: A SurveySardar Hasen Ali, Maiwan Bahjat AbdulrazzaqDeep learning and deep neural networks, particularly Convolutional Neural Networks (CNNs), are rapidly growing areas of machine learning and are currently the primary tools used for image analysis and classification applications. Handwriting recognition involves using computer algorithms and software to interpret and recognize handwritten text and drawings and has various applications such as automated handwriting analysis, document digitization, and handwriting-based … …Journal of Computer Science, Vol. 19, Issue 5 · 8 Apr 2023 · 8,763 accessesView PDFCite
Research ArticleOpen accessIn the abstractOnline Arabic Handwritten Character Recognition Based on a Rule Based ApproachSaad M. Ismail, Siti Norul Huda Sheikh AbdullahHandwriting recognition is a very challenging problem. Much work has been done on the recognition of Latin characters but limited work has been done on recognizing Arab characters. Most Arabic handwriting recognition in previous works focused on recognizing offline script and little take the online cases. The main theme of this study is on-line handwritten Arabic character recognition. A successful … …Journal of Computer Science, Vol. 8, Issue 11 · 25 Sep 2012 · 7,193 accessesView PDFCite
Research ArticleOpen accessIn the abstractShape Retrieval through Angular Distance with Shortest Augmenting Path AlgorithmD. Chitra, N. Devarajan, T. ManigandanProblem statement: The shape of an object is very important in object recognition. Shape matching is a challenging problem, especially when articulation and deformation of a part occurs. These variations may be insignificant for human recognition but often cause a matching algorithm to give results that are inconsistent with our perception. Approach: We proposed a customized approach to measure similarity … …Journal of Computer Science, Vol. 7, Issue 12 · 21 Oct 2011 · 6,817 accessesView PDFCite
Research ArticleOpen accessIn the abstractError Free Iterative Morphological Decomposition Algorithm for Shape RepresentationV. Vijaya Kumar, A. Srikrishna, G. Hemantha KumarProblem statement: A generalized skeleton transform allows a shape to be represented as a collection of modestly overlapped octagonal shape parts. One problem with several generalized Morphological skeleton transforms is that they generate noise after decomposition. The noise rate may not be effective for ordinary images; however this effect will be more when applied on printed or handwritten characters. Approach: … …Journal of Computer Science, Vol. 5, Issue 1 · 31 Jan 2009 · 7,517 accessesView PDFCite
Research ArticleOpen accessIn the abstractBack Propagation Neural Network Arabic Characters Classification Module Utilizing Microsoft WordA. A. HamzaProblem statement: Arabic character recognition has been one of the last major languages to receive attention. This may be attributed to the inherent complexity of both printed and handwritten Arabic characters. The objectives of this study were to: (i) summarize the main characteristics of Arabic language writing style. (ii) suggest a neural network recognition circuit. Approach: A Neural network with … …Journal of Computer Science, Vol. 4, Issue 9 · 30 Sep 2008 · 7,831 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn 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