What is it about?
This research paper performs a systematic analysis of the literature reported during the last twelve years for the recognition of text in cursive languages (Pashto, Urdu, and Arabic). It primarily aims to identify the gaps in available literature and proposed new enhanced solutions.
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Why is it important?
The findings of this systematic research work show: (1) the list of techniques suggested for text recognition in cursive languages, (2) set of feature extraction techniques proposed, and (3) implementation tools used to design and simulate the empirical studies in this specialized field. This systematic assessment will ultimately help the researchers to perform an overview of the existing character/text recognition approaches, recognition capabilities, time consumption, and subsequently identify the areas that requires a significant attention in the near future.
Perspectives
It was a great pleasure for me to write this research article along with the co-authors with whom I have had long standing collaborations. This article also leads to assess the literature reported for the cursive languages' recognitions (especially for Urdu, Arabic, and Pashto languages).
Sulaiman Khan
Hamad Bin Khalifa University
Read the Original
This page is a summary of: Analysis of Cursive Text Recognition Systems: A Systematic Literature Review, ACM Transactions on Asian and Low-Resource Language Information Processing, July 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3592600.
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