article · Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong · 2004
Off-line Handwritten Digit Recognition by Combining Direction Codes of Strokes
Cited by 0Abstract and details only
Abstract
We present a robust off-line method recognizing handwritten digits by only using stroke direction codes as a feature of handwritten digits. This method makes general 8-direction codes for an input digit and then has the multi-layered neural networks learn them and recognize each digit. The 8-direction codes are made of the thinned results of each digit through SOG*(Improved Self-Organizing Graph). And the usage of these codes simplifies the complex steps processing at least two features of the existing methods. The experimental result shows that the recognition rates of this method are constantly better than 98.85% for any images in all digit databases.
Cite this paper
Lee, C., & Jung, S.-H. (2004). Off-line Handwritten Digit Recognition by Combining Direction Codes of Strokes. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong, 31(12), 1581–1590.
Lee, Chanhee, and Soon-Ho Jung. “Off-line Handwritten Digit Recognition by Combining Direction Codes of Strokes.” Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong, vol. 31, no. 12, 2004, pp. 1581–90.
Lee, Chanhee, and Soon-Ho Jung. 2004. “Off-line Handwritten Digit Recognition by Combining Direction Codes of Strokes.” Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong 31 (12): 1581–90.
Lee, C. and Jung, S.-H. (2004) ‘Off-line Handwritten Digit Recognition by Combining Direction Codes of Strokes’, Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong, 31(12), pp. 1581–1590.
@article{lee2004line,
title = {{Off-line Handwritten Digit Recognition by Combining Direction Codes of Strokes}},
author = {Lee, Chanhee and Jung, Soon-Ho},
journal = {Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong},
volume = {31},
number = {12},
pages = {1581--1590},
year = {2004}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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