Results 21 to 30 of about 6,299 (201)
Balinese Script Recognition Using Tesseract Mobile Framework
Lontar Komputer, 2022 One of the main factors causing the decline in the use of Balinese Script is that Balinese people are less interested in reading Balinese Script because of their reluctance to learn Balinese Script, which is relatively complicated in the recognition ...
Gede Indrawan +4 more
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Applied System Innovation, 2019 Companies are relying more on artificial intelligence and machine learning in order to enhance and automate existing business processes. While the power of OCR (Optical Character Recognition) technologies can be harnessed for the digitization of image ...
Coenrad de Jager, Marinda Nel
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PROCESSING IMAGES OF SALES RECEIPTS FOR ISOLATING AND RECOGNISING TEXT INFORMATION
Вестник Дагестанского государственного технического университета: Технические науки, 2020 Objectives. This article presents an application for the processing of scanned images of sales receipts for subsequent extraction of text information using the Tesseract OCR Engine.
A. S. Nazdryukhin +2 more
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, 2023 4 pages, 6 figures, Bridges 2023 Conference ...
Estévez, Manuel +2 more
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Jurnal Teknologi dan Sistem Komputer, 2020 Low-resolution images can be reconstructed into high-resolution images using the Super-resolution Convolution Neural Network (SRCNN) algorithm. This study aims to improve the vehicle license plate number's recognition accuracy by generating a high ...
Windra Swastika +2 more
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Journal of Applied Engineering and Technological Science, 2022 The development of technology in Indonesia is currently increasingly advanced in people's lives and cannot be avoided. The use of Artificial Intelligence in helping humans in dealing with problems is growing.
Ikha Novie Tri Lestari +1 more
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Robust Vehicle Number Plate Text Recognition and Data Analysis Using Tesseract Ocr [PDF]
ITM Web of ConferencesTo detect the vehicle number plate the system should understand the character and integers determined on vehicles. The proposed methodology holds three phases: pre-process, extraction of features and recognition of text.
Padmaja G. +4 more
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ICTACT Journal on Image and Video Processing, 2021 A huge amount of information exists in the form of textbooks, paper documents, newspapers, and other physical forms, that is required to be digitized for its effective access and long-time availability. Optical Character Recognition (OCR) is an effective
Sukhbindra Singh Rawat +2 more
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Exchanging image processing and OCR components in a Setswana digitisation pipeline
South African Computer Journal, 2020 As more natural language processing (NLP) applications benefit from neural network based approaches, it makes sense to re-evaluate existing work in NLP. A complete pipeline for digitisation includes several components hand- ling the material in sequence.
Gideon Jozua Kotzé, Friedel Wolff
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Optical Character Recognition Using Tesseract
International Journal for Research in Applied Science and Engineering Technology, 2022 Abstract: Optical Character Recognition (OCR) is a process or technology in which text within a digital image is recognized. With rapid pace of technology, people want quicker, handy and reliable tools, which can fulfil their daily needs. With this moto we had gone forward and analyzed the existing tools and made up this Android App, which provides ...
Dr. Suraya Mubeen +4 more
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