Results 11 to 20 of about 2,013 (228)

Optical Character Recognition (OCR) enhancement using an approximate string matching technique

open access: yesEngineering and Applied Science Research, 2018
Many researchershavefocusedon improving optical character recognition (OCR) efficiency by developing new techniques using image processing based methodologies.
Kraisak Kesorn   +1 more
doaj   +1 more source

CNN-Based Optical Character Recognition for Isolated Printed Gujarati Characters and Handwritten Numerals [PDF]

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences, 2022
Optical character recognition (OCR) technologies have made significant progress in the field of language recognition. Gujarati is a more difficult language to recognize compared to other languages because of curves, close loops, the inclusion of ...
Sanket B. Suthar, Amit R. Thakkar
doaj   +1 more source

A scene perception system for visually impaired based on object detection and classification using CNN [PDF]

open access: yesITM Web of Conferences, 2020
In this paper we have developed a system for visually impaired people using OCR and machine learning. Optical Character Recognition is an automated data entry tool. To convert handwritten, typed or printed text into data that can be edited on a computer,
Moharkar Lalita   +3 more
doaj   +1 more source

Essential lipid autacoids rewire mitochondrial energy efficiency in metabolic dysfunction‐associated fatty liver disease

open access: yesHepatology, EarlyView., 2022
Increased liver content of DHA‐derived small lipid autacoids (i.e resolvin D1 and maresin 1) associates with enhanced mitochondrial oxidative phosphorylation, fatty acid β‐oxidation and bioenergetic metabolic flux. These features provide hepatic protection from steatotic, pro‐inflammatory and fibrogenic insults.
Cristina López‐Vicario   +12 more
wiley   +1 more source

Text detection and recognition in raw image dataset of seven segment digital energy meter display

open access: yesEnergy Reports, 2019
The article describes the collection of the dataset of raw images of digital energy meters display, text detection and recognition of seven segment numerals from collected samples that may be helpful in reducing the cost of advanced metering ...
Karthick Kanagarathinam, Kavaskar Sekar
doaj   +1 more source

Balinese Script Recognition Using Tesseract Mobile Framework

open access: yesLontar 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
doaj   +1 more source

Optical Character Recognition for Quranic Image Similarity Matching

open access: yesIEEE Access, 2018
The detection and recognition and then conversion of the characters in an image into a text are called optical character recognition (OCR). A distinctive-type of OCR is used to process Arabic characters, namely, Arabic OCR.
Faiz Alotaibi   +5 more
doaj   +1 more source

Full Text Conversion Experience in Optical Character Recognition of Ancient Books: An Example of Ming Dynasty Literati Collections

open access: yesTūzī yǔ dàng’àn xuékān, 2020
Due to the development of information technology and the need for content analysis of digital humanities research, the use of optical character recognition technology (OCR) to convert contents into verbatim texts can facilitate full-text search and ...
Chiao-Min Lin, Han-Wei Tasi
doaj   +1 more source

Which OCR toolset is good and why : A comparative study

open access: yesKuwait Journal of Science, 2021
Optical Character Recognition (OCR) is a very active research area in many scientific disciplines like pattern recognition, natural language processing (NLP), computer vision, biomedical informatics, machine learning and artificial intelligence.
Pooja Jain   +2 more
doaj   +1 more source

Experimental evaluation of Arabic OCR systems [PDF]

open access: yesInternational Journal of Crowd Science, 2017
Purpose – The aim of this paper is to experimentally evaluate the effectiveness of the state-of-the-art printed Arabic text recognition systems to determine open areas for future improvements.
Mansoor Alghamdi, William Teahan
doaj   +1 more source

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