A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Detection of Dominant Points on Digital Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Based Detection of Corners of Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Curves and Surfaces for Computer-Aided Geometric Design: A Practical Code
Curves and Surfaces for Computer-Aided Geometric Design: A Practical Code
History and Technology of Computer Fonts
IEEE Annals of the History of Computing
An Improved Method of Angle Detection on Digital Curves
IEEE Transactions on Computers
Capturing Character Contours from Images of Ancient Chinese Calligraphy
DMAMH '07 Proceedings of the Second Workshop on Digital Media and its Application in Museum & Heritage
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 2
Angle Detection on Digital Curves
IEEE Transactions on Computers
An automatic algorithm for approximating boundary of bitmap characters
Future Generation Computer Systems
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Chinese calligraphy is an art unique to Asian cultures. This paper presents a novel method for generating outline font from historical documents of Chinese calligraphy. The method consists of detecting feature points from character boundaries, and approximating contour segments. The feature-point-detection is based on statistical method considering the characteristics of a calligrapher. A database of basic strokes and some overlapping stroke components of Chinese characters extracted from the calligrapher are constructed in advance. And the relation between the noise level of stroke contours and the standard deviation of Gaussian kernel is retrieved from the database using linear regression. Thus, given an input character contour, the standard deviation for smoothing the noisy character contour can be calculated. Furthermore, a new method is employed to determine the feature points at the standard deviation. The feature points at a character contour subdivide the contour into segments. Each segment can be fitted by a parametric curve to obtain the outline font. Some experimental results and the comparisons to existing methods are also presented in the paper.