Cursive Script Text Recognition in Natural Scene Images: Arabic Text Complexities
Authors: Saad Bin Ahmed – Muhammad Imran Razzak – Rubiyah Yusof
ISBN-10: 9811512965
ISBN-13: 9789811512964
Edition 版次: 1st ed. 2020
Publication Date 出版日期: 2020-02-03
Print Length 页数: 111 pages
9
Book Description
By finelybook
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.
Contents
About the Authors
Acronyms
1 Foundations of Cursive Scene Text
2 Text in a Wild and Its Challenges
3Arabic Scene Text Acquisition and Statistics
4Methods and Algorithm
5 Progress in Cursive Wild Text Recognition
6Conclusion and Future Work
Appendix Appendix Relevant Description
A.1 Evaluation Metric
Appendix Glossary
Appendix References
Index
