Shape decomposition by collinearity
Pattern Recognition Letters
On sequential shape descriptions
Pattern Recognition
A survey of moment-based techniques for unoccluded object representation and recognition
CVGIP: Graphical Models and Image Processing
Principles of Digital Communication and Coding
Principles of Digital Communication and Coding
Invariant Fitting of Planar Objects by Primitives
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Tree-Like Data Structures for Effective Recognition of 2-D Solids
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Four Metrics for Efficiently Comparing Attributed Trees
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Multiresolution Spatial Partitioning for Shape Representation
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Active Grading Ensembles for Learning Visual Quality Control from Multiple Humans
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Metric classifier using multilevel network of templates
Pattern Recognition and Image Analysis
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A moment-based approach is developed to constructing tree-structured descriptions of patterns given by region-based shapes with grayscale attributes. The proposed representation is approximately invariant with respect to the pattern rotation, translation, scale, and level of brightness. The tree-like structure of the pattern representations provides their independent encoding into prefix code words. Due to this fact, a pattern recognition procedure amounts to decoding a code word of the pattern by the nearest code word from a tree of the code words of selected templates. Efficient application of the pattern representation technique is illustrated by experimental results on signature and hand gesture recognition.