A Skeletonizing Reconfigurable Self-Organizing Model: Validation Through Text Recognition

Authors:
J. M. Alonso-Weber;A. Sanchis
Affiliations:
Department of Informatics, Polytechnic School, Universidad Carlos III de Madrid, Leganés, Madrid, Spain 28911;Department of Informatics, Polytechnic School, Universidad Carlos III de Madrid, Leganés, Madrid, Spain 28911
Venue:
Neural Processing Letters
Year:
2011

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Abstract

Self Organizing Maps are able to develop topology preserving classifiers. In this work we propose a Reconfigurable Self Organizing Model, which combines this property with others related with the generation of sub-graphs of the Delaunay-triangulation, the possibility of generating elastic approximations and the capacity to reconfigure the models topological structure in a data driven way. These properties allow us to apply the model to the extraction of linear structures from one-dimensional curves and from two-dimensional figures (which can be dense or not). Skeletonization and recognition of machine printed text and handwritten numerals serve as a validation domain.