Cursive Script Text Recognition in Natural Scene Images

Name: Cursive Script Text Recognition in Natural Scene Images
Brand: Springer Nature Singapore
SKU: 9789811512995
Price: 2689 CZK
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Autor: Muhammad Imran Razzak, Rubiyah Yusof

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer Nature Singapore

Dostupnost: U nakladatele na objednávku

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2 689 Kč

This book offers a broad and structured overview of the state-of-the-art methods that could be appli...

Informace o knize

Autor

Muhammad Imran Razzak, Rubiyah Yusof

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2021

Stránek

128

EAN

9789811512995

ISBN

981151299X

Enbook ID

33593976

Vydavatel

Springer Nature Singapore

Hmotnost

234

Rozměry

155 x 235 x 7

Kompletní popis

This book offers a broad and structured overview of the state-of-the-art methods that could be applied for context-dependent languages like Arabic. It also provides guidelines on how to deal with Arabic scene data that appeared in an uncontrolled environment impacted by different font size, font styles, image resolution, and opacity of text. Being an intrinsic script, Arabic and Arabic-like languages attract attention from research community. There are a number of challenges associated with the detection and recognition of Arabic text from natural images. This book discusses these challenges and open problems and also provides insights into the complexities and issues that researchers encounter in the context of Arabic or Arabic-like text recognition in natural and document images. It sheds light on fundamental questions, such as a) How the complexity of Arabic as a cursive scripts can be demonstrated b) What the structure of Arabic text is and how to consider the features from a given text and c) What guidelines should be followed to address the context learning ability of classifiers existing in machine learning.

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Cursive Script Text Recognition in Natural Scene Images

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