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Chinese cursive character detection method
- Source :
- The Journal of Engineering. 2020:626-629
- Publication Year :
- 2020
- Publisher :
- Institution of Engineering and Technology (IET), 2020.
-
Abstract
- Chinese is a widely used language in the world. Chinese cursive script is one of the most distinctive calligraphy art and traditional cultures of China. However, for its connected writing, there is a lack of research on text recognition for cursive images. Here, the authors construct a small cursive image dataset named as Chinese Cursive and there are 523 images in this dataset. It contains continuous strokes text, recognises difficulty etc. Each cursive character is corresponded to a label. The authors proposed a cursive detection method named as SE-seglink for the dataset. The SE-seglink further enhances the image feature extraction. Compared to the existing methods, the SE-seglink performs better in recognising cursive scripts and improves the precision of text detection in cursive images. After multiple sets of comparative experiments, the effectiveness of the SE-seglink method was evaluated by the experiment on the benchmark image dataset ICDAR2015.
- Subjects :
- business.industry
Computer science
Character (computing)
Feature extraction
General Engineering
Energy Engineering and Power Technology
02 engineering and technology
Text detection
Construct (python library)
computer.software_genre
01 natural sciences
Calligraphy
Scripting language
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
Benchmark (computing)
020201 artificial intelligence & image processing
Artificial intelligence
010306 general physics
business
Cursive
computer
Software
Natural language processing
Subjects
Details
- ISSN :
- 20513305
- Volume :
- 2020
- Database :
- OpenAIRE
- Journal :
- The Journal of Engineering
- Accession number :
- edsair.doi...........1478066bd2b5fe88d507814b037cf144