A Unified Framework for Indexing and Matching Hierarchical Shape Structures
IWVF-4 Proceedings of the 4th International Workshop on Visual Form
Structure-Based Similarity Search with Graph Histograms
DEXA '99 Proceedings of the 10th International Workshop on Database & Expert Systems Applications
Skeleton Based Shape Matching and Retrieval
SMI '03 Proceedings of the Shape Modeling International 2003
Shock Graphs and Shape Matching
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
An Axis-Based Representation for Recognition
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Object Recognition as Many-to-Many Feature Matching
International Journal of Computer Vision
Path Similarity Skeleton Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Down to the bone: simplifying skeletons
Proceedings of the 10th ACM symposium on Document engineering
Skeleton graph matching based on critical points using path similarity
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Glyph spotting for mediaeval handwritings by template matching
Proceedings of the 2012 ACM symposium on Document engineering
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For analysing and comparing characters, using skeletons is a promising approach due to their topology-preserving nature and the resemblance of the skeleton to the original writing movement. We suggest a novel qualitative approach to skeleton comparison that is based on the adjacency of junctions and end points and the steps of a preceding skeleton simplification. By using a multi-dimensional histogram that contains information about the adjacency and the degree of joints, we gain high comparison speeds which, when combined with the multi-step approach, can be used for a generic topology distance metric.