A One-Pass Two-Operation Process to Detect the Skeletal Pixels on the 4-Distance Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
A comparison of some one-pass parallel thinnings
Pattern Recognition Letters
Thinning Methodologies-A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
One-Pass Parallel Thinning: Analysis, Properties, and Quantitative Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A knowledge-based thinning algorithm
Pattern Recognition
A new one-pass parallel thinning algorithm for binary images
Pattern Recognition Letters
A fast parallel algorithm for thinning digital patterns
Communications of the ACM
Piecewise Linear Skeletonization Using Principal Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Evaluation of Parallel Thinning Algorithms for Character Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Skeletonization for fuzzy degraded character images
IEEE Transactions on Image Processing
Techniques for static handwriting trajectory recovery: a survey
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
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Existing skeletonization methods operate directly onthe binary image ignoring the gray-level information.In this paper we propose a new method for the skeletonization of handwritten characters that uses gray-level information and capitalizes on their elongatedpattern properties. The method controls the development of the skeleton while iteratively binarizing thegray-level image. Two types of iterations are performed: the iterative skeletonization and deletion ofboundary pixels, which is nested within the iterativebinarization of the gray-level image. Detailed analysis of the skeletonization process is presented to showits superior performance related to the prevention of"flooding water" and end point shrinkage and to noiseimmunity.