Recovery of Drawing Order from Single-Stroke Handwriting Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovery of Writing Sequence of Static Images of Handwriting using UWM
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Handwritten character skeletonisation for forensic document analysis
Proceedings of the 2005 ACM symposium on Applied computing
Three-stage Handwriting Stroke Extraction Method with Hidden Loop Recovery
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Recognition-directed recovering of temporal information from handwriting images
Pattern Recognition Letters
A Framework Toward Restoration of Writing Order from Single-Stroked Handwriting Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rule-based cleanup of on-line English ink notes
Pattern Recognition
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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On-line recognition differs from off-line recognition in that additional information about the drawing order of the strokes is available. This temporal information makes it easier to recognize handwritten texts with an on-line recognition system. In this paper we present a method for the recovery of the stroke order from static handwritten images. The algorithm was tested by classifying the words of an off-line database with a state-of-the-art on-line recognition system. On this database with 150 different words, written by four cooperative writers, a recognition rate of 97.4% was obtained.