Character Detection and Segmentation of Historical Uchen Tibetan Documents in Complex Situations

Author:

Zhang Ce1ORCID,Wang Weilan1ORCID,Liu Huaming2,Zhang Guowei1,Lin Qiang3ORCID

Affiliation:

1. Key Laboratory of China’s Ethnic Languages and Information Technology, Ministry of Education, Northwest Minzu University, Lanzhou, China

2. School of Computer and Information Engineering, Fuyang Normal University, Fuyang, China

3. Key Laboratory of Streaming Data Computing and Application, Northwest Minzu University, Lanzhou, China

Funder

National Natural Science Foundation of China

Program for Leading Talent of State Ethnic Affairs Commission

Program for Innovative Research Team of SEAC

Gansu Provincial First-Class Discipline Program of Northwest Minzu University through the “Innovation Star” Project of Excellent Postgraduates of Gansu Provincial Department of Education

Science and Technology Research Program of Chongqing Education Commission

Research Program of Chongqing University of Education

Key Projects of Natural Science Research in Anhui Colleges and Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference38 articles.

1. Character segmentation for historical Uchen Tibetan document based on structure attributes;zhang;Laser Optoelectron Prog,2021

2. Graph Model Optimization Based Historical Chinese Character Segmentation Method

3. Characters segmentation method of historical documents mixed in Korean and Chinese;liu;Comput Eng Appl,2020

4. Segmentation method for merged characters in CAPTCHA based on drop fall algorithm;li;Comput Eng Appl,2014

5. A novel drop-fall algorithm based on digital features for touching digit segmentation

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