Analyzing the Classification Techniques for Bulk of Cursive Languages Data: An Overview

Mu Hong,Shah Nazir,Zhang Shuo,Wang Guan,Muhammad Arif Shah

doi:10.1155/2021/6624397

Mu Hong, Shah Nazir + Show 3 more

Open Access

https://doi.org/10.1155/2021/6624397

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Abstract

The remarkable growth of texts both in online and offline is becoming a challenging issue which need exploration for further research. Diversities of regional and cultural changes have produced diverse languages as a source of communication. Variations of styles are existing for handwritten texts which is due to varying writing styles. The research area of text recognition is matured which has increased a number of directions in the area of research. A detail report of the existing literature is needed which can help practitioners and researchers to use the existing evidence and provide new solutions for identification of cursive languages and to optimize the ability of recognition for cursive text. For facilitating the researchers and practitioners by providing in-depth analysis of the existing literature, the proposed study provide a detail report through which researchers can get benefit of the literature and devise new solutions. This study is based on searching various popular libraries for identifying relevant materials associated with the proposed study.

Highlights

With the passage of time, a significant growth of texts arises both in online and offline. is growth is becoming a challenging issue for researchers which need consideration for further research
Scientific Programming are more variations of writing styles and complexity. e handwriting recognition can be categorized into offline and online systems. e offline text recognition is difficult to recognize due to the reasons that these are available in the form of images with written text, while the online recognition of text is easy; as in such system, there is no need of sequence or order of writing [5]
Is growth is becoming a challenging issue for researchers which need consideration for further research and exploration

Summary

Introduction

With the passage of time, a significant growth of texts arises both in online and offline. is growth is becoming a challenging issue for researchers which need consideration for further research. Such documents can occupy more storage space as compared to the textual format If such images are accessed/processed through the Internet, it will require more bandwidth. Optical character recognition (OCR) system can facilitate the conversion of document image into textual format. E offline text recognition is difficult to recognize due to the reasons that these are available in the form of images with written text, while the online recognition of text is easy; as in such system, there is no need of sequence or order of writing [5]. Detail of the existing literature is desirable which can assist practitioners and researchers to use the existing evidences and provide new solutions for identification of cursive languages and to optimize the ability of recognition for cursive text.

Approaches for Cursive Script Recognition

Method

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Conclusion