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ICIAP
2007
ACM

Transformation invariant SOM clustering in Document Image Analysis

14 years 3 months ago
Transformation invariant SOM clustering in Document Image Analysis
In this paper, we propose the combination of the Self Organizing Map (SOM) and of the tangent distance for effective clustering in Document Image Analysis. The proposed model (SOM TD) is used for character and layout clustering, with applications to word retrieval and to page classification. By using the tangent distance it is possible to improve the SOM clustering so as to be more tolerant with respect to small local transformations of the input patterns.
Simone Marinai, Emanuele Marino, Giovanni Soda
Added 08 Dec 2009
Updated 08 Dec 2009
Type Conference
Year 2007
Where ICIAP
Authors Simone Marinai, Emanuele Marino, Giovanni Soda
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