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Vector Representation of Graphs: Application to the Classification of Symbols and Letters

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3 Author(s)
Sidere, N. ; LITIS, Univ. de Rouen, St. Etienne du Rouvray, France ; Heroux, P. ; Ramel, J.

In this article we present a new approach for the classification of structured data using graphs. We suggest to solve the problem of complexity in measuring the distance between graphs by using a new graph signature. We present an extension of the vector representation based on pattern frequency, which integrates labeling information. In this paper, we compare the results achieved on public graph databases for the classification of symbols and letters using this graph signature with those obtained using the graph edit distance.

Published in:

Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on

Date of Conference:

26-29 July 2009