Stroke segmentation by Bernstein-Be´zier curve fitting
Pattern Recognition
Thinning Methodologies-A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Piecewise Linear Skeletonization Using Principal Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovery of temporal information of cursively handwritten words for on-line recognition
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Skeletonization of Ribbon-Like Shapes Based on a New Wavelet Function
IEEE Transactions on Pattern Analysis and Machine Intelligence
Frame Skeleton Based Auto-Inbetweening in Computer Assisted Cel Animation
CW '04 Proceedings of the 2004 International Conference on Cyberworlds
IEEE Transactions on Image Processing
DBSC-based pencil style simulation for line drawings
Proceedings of the 2006 international conference on Game research and development
New specialist tools for medieval document XML markup
Proceedings of the 2007 ACM symposium on Applied computing
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Techniques for static handwriting trajectory recovery: a survey
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Extraction and analysis of document examiner features from vector skeletons of grapheme ‘th'
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
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A new method of skeletonisation (stroke extraction) of handwritten character images is presented. The method has been designed to extract the skeleton which is very close to human perception of the original pen tip trajectory. The need in such skeletonisation arises from feature extraction algorithms which are sensitive to inaccuracies in positions of skeleton curves. One class of such algorithms are those for extraction of features used in forensic analysis of handwriting. The skeleton is constructed in three steps directly from the grayscale image and is represented as a set of curves, which, in turn, are represented as cubic B-splines. Such representation also eases feature extraction.Experiments have been performed on 150 images of grapheme "th" written by different writers. The assessment of the skeletonisation results are presented.