Thinning Methodologies-A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fundamentals of speech recognition
Fundamentals of speech recognition
Recovery of temporal information from static images of handwriting
International Journal of Computer Vision - Special issue: image understanding research at the University of Maryland
Identification of Fork Points on the Skeletons of Handwritten Chinese Characters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Data structures for weighted matching and nearest common ancestors with linking
SODA '90 Proceedings of the first annual ACM-SIAM symposium on Discrete algorithms
On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovery of Drawing Order from Single-Stroke Handwriting Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Learning
Robust Stroke Segmentation Method for Handwritten Chinese Character Recognition
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
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
Recovery of Drawing Order from Scanned Images of Multi-Stroke Handwriting
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Recovering Writing Traces in Off-Line Handwriting Recognition: Using a Global Optimization Technique
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Recovering Dynamic Information from Static Handwritten Images
IWFHR '04 Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition
An Integration of Online and Pseudo-Online Information for Cursive Word Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Novel Approach to Recover Writing Order From Single Stroke Offline Handwritten Images
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
A Novel Approach to Recover Writing Order From Single Stroke Offline Handwritten Images
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Time-efficient stroke extraction method for handwritten signatures
ACS'07 Proceedings of the 7th Conference on 7th WSEAS International Conference on Applied Computer Science - Volume 7
Interpretation of Ambiguous Zone in Handwritten Chinese Character Images Using Bayesian Network
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
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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Restoration of writing order from a single-stroked handwriting image can be seen as the problem of finding the smoothest path in its graph representation. In this paper, a 3-phase approach to restore a writing order is proposed within the framework of the Edge Continuity Relation (ECR). In the initial, local phase, in order to obtain possible ECRs at an even-degree node, a neural network is used for the node of degree 4 and a theoretical approach is presented for the node of degree higher than 4 by introducing certain reasonable assumptions. In the second phase, we identify double-traced lines by employing maximum weighted matching. This makes it possible to transform the problem of obtaining possible ECRs at odd-degree node to that at even-degree node. In the final, global phase, we find all the candidates of single-stroked paths by depth first search and select the best one by evaluating SLALOM smoothness. Experiments on static images converted from online data in the Unipen database show that our method achieves a restoration rate of 96.0 percent.