Optical disk implementation of radial-basis classifiers [PDF]
, 1990 We describe an optical disk based system for handwritten character recognition. The recognition scheme is based on a radial basis function approach to pattern classification. The optical system computes the Euclidean distance between an unknown input and
Kobayashi, S. +4 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
Structural model constructing for optical handwritten character recognition [PDF]
, 2017 The article is devoted to the development of the algorithms for optical handwritten character recognition based on the structural models constructing. The main advantage of these algorithms is the low requirement regarding the number of reference images.
Khaustov, Pavel Aleksandrovich +2 more
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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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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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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
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Examples of Artificial Perceptions in Optical Character Recognition and Iris Recognition
, 2012 This paper assumes the hypothesis that human learning is perception based, and consequently, the learning process and perceptions should not be represented and investigated independently or modeled in different simulation spaces.
A.M. Turing +6 more
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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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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
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