An optimized CNN system to recognize handwritten characters in ancient documents in Grantha script

An optical character recognition (OCR) system plays an important role in the digitization of ancient handwritten text document. Various adversaries of ancient documents such as ink stains, faded portion of text, humidity spots, and similar-shaped characters make the task of character recognition cha...

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Vydané v:	International journal of information technology (Singapore. Online) Ročník 15; číslo 4; s. 1975 - 1983
Hlavní autori:	Jindal, Amar, Ghosh, Rajib
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Singapore Springer Nature Singapore 01.04.2023 Springer Nature B.V
Predmet:	Artificial Intelligence Artificial neural networks Computer Imaging Computer Science Convolution Documents Handwriting recognition Image Processing and Computer Vision Machine Learning Neural networks Optical character recognition Optimization techniques Original Research Pattern Recognition and Graphics Software Engineering Vision India Optimized CNN Character recognition Grantha script Ancient handwritten documents
ISSN:	2511-2104, 2511-2112
On-line prístup:	Získať plný text
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