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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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IMPLEMENTATION OF REJECTION STRATEGIES INSIDE MALAYALAM CHARACTER RECOGNITION SYSTEM BASED ON RANDOM FOURIER FEATURES AND REGULARIZED LEAST SQUARE CLASSIFIER [PDF]
Journal of Engineering Science and Technology, 2018 Robust and reliable recognition are indeed necessary requirements for optical character recognition systems. Distortions present in the document image and the pre-processing errors cause the optical character recognition system to apply rejection ...
MANJUSHA K, ANAND KUMAR M., SOMAN K. P.
doaj
, 2022 The recognition of Chinese characters has always been a challenging task due to their huge variety and complex structures. The current radical-based methods fail to recognize Chinese characters without learning all of their radicals in the training stage.
Huang, Guanjie +4 more
core +1 more source
Important New Developments in Arabographic Optical Character Recognition
Al-'Usur al-Wusta, 2017 The Open Islamicate Texts Initiative (OpenITI) team1 —building on the foundational opensource OCR work of the Leipzig University (LU) Alexander von Humboldt Chair for Digital Humanities—has achieved Optical Character Recognition (OCR) accuracy rates for ...
Matthew Thomas Miller
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Optical Character Recognition for Quranic Image Similarity Matching
IEEE 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
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Deep Learning Approaches for Nusantara Scripts Optical Character Recognition
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2023 The number of speakers of regional languages who are able to read and to write traditional scripts in Indonesia is decreasing. If left unaddressed, this will lead to the extinction of Nusantara scripts and it is not impossible that their reading methods ...
Agi Prasetiadi +3 more
doaj +1 more source
Optical character recognition using randemonium and a genetically optimized polynomial classifier
, 2022 S.145 ...
Smieja, F.
core +1 more source
India Handwritten Digits Recognition [PDF]
مجلة التربية والعلم, 2009 An Optical Character Recognition (OCR) approach for handwritten Indian digit is presented in this paper, by using the proposed sector approach. In this approach, the normalized and thinned digit image is divided into sectors with each sector covering a ...
Iklaas Sultan
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Character Recognition of Arabic Handwritten Characters Using Deep Learning
Journal of Studies in Science and Engineering, 2022 Optical character recognition (OCR) is used to digitize texts in printed documents and camera images. The most basic step in the OCR process is character recognition.
Mohammed Widad Jbrail +1 more
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Multiclass Recognition of Offline Handwritten Devanagari Characters using CNN [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2020 The handwriting style of every writer consists of variations, skewness and slanting nature and therefore, it is a stimulating task to recognise these handwritten documents.
Mamta Bisht , Richa Gupta
doaj +1 more source