An algorithm for automatically fitting digitized curves
Graphics gems
Basic Processes of Chinese Character Based on Cubic B-Spline Wavelet Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Capturing Outline of Fonts Using Genetic Algorithm and Splines
IV '01 Proceedings of the Fifth International Conference on Information Visualisation
A Generic Shape Descriptor using Bezier Curves
ITCC '05 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II - Volume 02
Accurate distortion measurement for generic shape coding
Pattern Recognition Letters
An Automatic Generation of G^1 Curve Fitting of Arabic Characters
CGIV '06 Proceedings of the International Conference on Computer Graphics, Imaging and Visualisation
Image Processing, Analysis, and Machine Vision
Image Processing, Analysis, and Machine Vision
A randomized knot insertion algorithm for outline capture of planar images using cubic spline
Proceedings of the 2007 ACM symposium on Applied computing
A Corner-Finding Algorithm for Chain-Coded Curves
IEEE Transactions on Computers
An automatic algorithm for approximating boundary of bitmap characters
Future Generation Computer Systems
Capturing planar shapes by approximating their outlines
Journal of Computational and Applied Mathematics
Shape Matching Using Relaxation Techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
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A technique has been designed for capturing outlines by exploiting the properties of cubic Bezier curves. The planar images are used to extract the outline. The outline is divided into curve segments at high curvature points and each segment is processed independently for piecewise curve approximation. The proposed algorithm avoids the traditional method of least square fitting which is time consuming and presents a simple and efficient approach to find the control points Bezier curves. Recursive segment subdivision is used to keep the approximation error within specified threshold limits. The ideas of interpolation, control point estimation and optimization of approximation curve are used. A comparative study of results is also provided at the end and various benefits of the proposed algorithm like computational efficiency, accurate representation and low approximation error are highlighted.