Definition and Automatic Extraction Performance Analysis of Stroke Elements in the English Alphabet
Author:
Affiliation:
1. Department of IT Engineering, Sookmyung Women’s University, Seoul, South Korea
2. School of Computer Science, Semyung University, Jecheon, South Korea
Funder
Basic Science Research Program through the National Research Foundation of Korea
Ministry of Education
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10418082.pdf?arnumber=10418082
Reference31 articles.
1. A Machine Learning Approach to Multilingual and Cross-Lingual Ontology Matching
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3. An Implementation of Optimized Hangul Font Set for Multilingual IM Engine
4. Automatic extraction of hangul stroke element using faster R-CNN for font similarity;Ja-Yeon;J. Korea Multimedia Society,2020
5. Detection Model of Hangul Stroke Elements: Expansion of Non-Structured Font and Influence Evaluation by Stroke Element Combinations
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