Author/Authors :
Hong, Mu Hohai University School of Public Administration, China , Nazir, Shah Department of Computer Science - University of Swabi, Swabi, Pakistan , Shuo,Zhang Sangmyung University the Graduate School, Republic of Korea , Guan, Wang Nanhang Jincheng College School of Art and Communication, China
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.
