Analyzing the Classification Techniques for Bulk of Cursive Languages Data: An Overview
Author(s) -
Mu Hong,
Shah Nazir,
Shuo Zhang,
Guan Wang
Publication year - 2021
Publication title -
scientific programming
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.269
H-Index - 36
eISSN - 1875-919X
pISSN - 1058-9244
DOI - 10.1155/2021/6624397
Subject(s) - cursive , computer science , identification (biology) , natural language processing , artificial intelligence , information retrieval , data science , biology , botany
,e 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. ,e 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. ,is study is based on searching various popular libraries for identifying relevant materials associated with the proposed study.
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