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19 articles for “OCR”
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Research ArticleOpen accessEvery word in the titleEnhanced RoBERTa Model for OCR-Based EHR Parsing and Information ExtractionBalaji Ganesh Rajagopal, Amarnath C, Chidambaram Sawri Rajan, Deebalakshmi RamalingamHealthy source data for medical research and health analytics in general can be obtained from Electronic Health Records (EHRs). Nevertheless, due to the complexities of the design and especially the unstructured nature of them, it is not easy to extract important information from digital documents. This paper proposes a fundamentally new approach to the problem of interpreting EHRs obtained by … …Journal of Computer Science, Vol. 22, Issue 4 · 5 May 2026 · 1,581 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFace Log Creation from Low-Light CCTV VideosSomasundaram Sony Priya, Rajasekharan Indra MinuIn today’s rapidly evolving technological landscape, surveillance systems have become critical for security and operational management. Extracting accurate facial data from low-light CCTV footage remains a significant challenge due to limited visibility. This research presents a comprehensive methodology to address the complexities of face detection, recognition and timestamp extraction in low-light environments. Our approach focuses on creating detailed face logs … …Journal of Computer Science, Vol. 21, Issue 3 · 25 Feb 2025 · 7,191 accessesView PDFCite
Review ArticleOpen accessIn the keywordsTextual Figure Processing Method: A Systematic Literature ReviewWydyanto Yanto, Norshita Mat Nayan, Riza SulaimanA human transaction always involves figured documents that have high practical value and could be screened using Optical Character Recognition (OCR). Optical character recognition is a knowledge to process different types of documents and figures to become data that could be analyzed, stored in files, edited and written for different uses. Lately, researchers used a lot of methods to analyze … …American Journal of Applied Sciences, Vol. 21, Issue 1 · 26 Oct 2024 · 8,176 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Printed Arabic Optical Character Recognition System using Deep LearningSalah AlghyalineRecognizingArabic script is challenging for many reasons: The Arabic language is cursiveand morphologically rich. There is a high similarity between Arabic letters.Moreover, Arabic has many diacritics and dots, and they change the letter'sphonetic transcription. This study proposes a Printed Arabic Optical CharacterRecognition approach (PAOCR) based on the state-of-the-art You Only Look Once(YOLO) object detector. Four techniques were proposed and implemented … …Journal of Computer Science, Vol. 18, Issue 11 · 2 Nov 2022 · 7,619 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImproving Arabic Instant Machine Translation: The Case of Arabic Triangle of LanguageTala M. Albashir, Hussien Alzoubi, Mohammad AlbatainihRecently, instant translator applications would be a very useful applications when traveling especially when one knows little about the language of the country she/he is traveling to. Arabic to English instant translation has not yet been made available by most applications. In this Article, we attempt to provide mimic way of an application for instant Arabic to English translation. The … …Journal of Computer Science, Vol. 16, Issue 7 · 20 Jul 2020 · 7,507 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTEXT SIGNAGE RECOGNITION IN ANDROID MOBILE DEVICESOi-Mean Foong, Suziah Sulaiman, Kiing Kiu LingThis study presents a Text Signage Recognition (TSR) model in Android mobile devices for Visually Impaired People (VIP). Independence navigation is always a challenge to VIP for indoor navigation in unfamiliar surroundings. Assistive Technology such as Android smart devices has great potential to assist VIPs in indoor navigation using built-in speech synthesizer. In contrast to previous TSR research which was … …Journal of Computer Science, Vol. 9, Issue 12 · 25 Nov 2013 · 6,700 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEffect of Hidden Layer Neurons on the Classification of Optical Character Recognition Typed Arabic NumeralsNidal F. Shilbayeh, Mahmoud Z. IskandaraniProblem statement: The effect of varying the number of nodes in the hidden layer and number of iterations are important factors in the recognition rate. In this paper, a novel and effective criterion based on Cross Pruning (CP) algorithm is proposed to optimize number of hidden neurons and number of iterations in Multi Layer Perceptron (MLP) neural based recognition system. … …Journal of Computer Science, Vol. 4, Issue 7 · 31 Jul 2008 · 7,556 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOptical 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 · 6,970 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEGYPTIAN LICENSE PLATE RECOGNITION USING ENHANCED STROKE WIDTH TRANSFORMATION AND FUZZY ARTMAPAlaa Mohamed Youssef, Mohamed S. El-Mahallawy, Amr BadrLicense Plate Recognition (LPR) is the most important type of Intelligent Transportation System (ITS). LPR is used in many different types of ITS like electronic payment systems, toll station, parking fees, freeway and arterial management systems for traffic surveillance. Few years ago, Egyptians government changed the car license plate to include letters and numbers. So the needs for efficient LPR … …Journal of Computer Science, Vol. 10, Issue 6 · 28 Jan 2014 · 7,466 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRecognition of Hindi (Arabic) Handwritten NumeralsRawan I. Zaghloul, Dojanah M.K. Bader Enas, F. AlRawashdehRecognition of handwritten numerals has been one of the most challenging topics in image processing. This is due to its contributions in the automation process in several applications. The aim of this study was to build a classifier that can easily recognize offline handwritten Arabic numerals to support those applications that are deal with Hindi (Arabic) numerals. A new algorithm … …American Journal of Engineering and Applied Sciences, Vol. 5, Issue 2 · 1 Aug 2012 · 8,176 accessesView PDFCite