High quality Chinese fonts generation for desktop publishing — a computer vision approach

This paper introduces a method to generate high quality Chinese fonts for desktop publishing through an automatic process. The main idea of this process is to employ a computer vision based method to convert a manual font library on paper into concise computer representations. The conversion process...

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Bibliographic Details
Published in:Pattern recognition letters 1989, Vol.9 (2), p.147-151
Main Authors: Moon, Y.S., Hui, W.K.
Format: Article
Language:English
Subjects:
Applied sciences
Artificial intelligence
Computer science
control theory
systems
corner detection
Exact sciences and technology
font generation
Image processing
Pattern recognition. Digital image processing. Computational geometry
Citations: Items that this one cites
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Summary:This paper introduces a method to generate high quality Chinese fonts for desktop publishing through an automatic process. The main idea of this process is to employ a computer vision based method to convert a manual font library on paper into concise computer representations. The conversion process consists of 4 stages: image smoothing, boundary detection, corner detection and image regeneration. The algorithms, implementation and results are presented in the paper.
ISSN:0167-8655
1872-7344
DOI:10.1016/0167-8655(89)90047-0