An improved corner detection algorithm based on chain-coded plane curves
Pattern Recognition
Corner detection from chain-code
Pattern Recognition
Sub-pixel edge detection in character digitization
RIDT 91 Conference proceedings on Raster imaging and digital typography II
Digital typefaces: description and formats
Digital typefaces: description and formats
Antialiasing of curves by discrete pre-filtering
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Automatic outline capture of Arabic fonts
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Software engineering: Systems and tools
Curve-fitting with piecewise parametric cubics
SIGGRAPH '83 Proceedings of the 10th annual conference on Computer graphics and interactive techniques
An automatic outline fitting algorithm for Arabic characters
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartIII
Shape Matching Using Relaxation Techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
Technical Section: Capturing outlines of planar images using Bézier cubics
Computers and Graphics
Outline Capture of Images by Multilevel Coordinate Search on Cubic Splines
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
Outline font generating from images of ancient Chinese calligraphy
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In this paper, an automatic and efficient algorithm for outline capture of character images, stored as bitmap, is presented. This method is well suited for characters of non-Roman languages like Arabic, Japanese, Urdu, Persian, etc. Contemporary word processing systems store shapes of the characters in terms of their outlines, and outlines are expressed as cubic Bezier curves. The process of capturing outlines includes steps: detection of boundary, finding Corner Points and Break Points and fitting the curve. The work done in this paper, fully automate the above process and produces optimal results.