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14th International Conference on Image Analysis and Processing (ICIAP 2007)
Transformation invariant SOM clustering in Document Image Analysis
Modena, Italy
September 10-September 14
ISBN: 0-7695-2877-5
Simone Marinai, Universita di Firenze, Italy
Emanuele Marino, Universita di Firenze, Italy
Giovanni Soda, Universita di Firenze, Italy
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.
Citation:
Simone Marinai, Emanuele Marino, Giovanni Soda, "Transformation invariant SOM clustering in Document Image Analysis," iciap, pp.185-190, 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007
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