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Communication Dans Un Congrès Année : 2013

α*-Approximated Delaunay Triangulation Based Descriptors for Handwritten Character Recognition

Résumé

This paper presents an original feature vector extraction process based on the Delaunay triangulation (DT) and a zoning technique. The presented work provides an illustration of the equivalency between a zoning and the Delaunay triangulation in the context of handwritten character recognition. A novel technique that relies on the approximation of a DT and an automatic pruning calculation is introduced. We call this technique the alpha-approximation. To discuss our contribution, experiments are conducted on the MNIST database of handwritten digits using a support vector machine classifier for the classification task.
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Dates et versions

hal-01027463 , version 1 (22-07-2014)

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  • HAL Id : hal-01027463 , version 1

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Octavio Razafindramanana, Frédéric Rayar, Gilles Venturini. α*-Approximated Delaunay Triangulation Based Descriptors for Handwritten Character Recognition. 12th International Conference on Document Analysis and Recognition, Aug 2013, Washington DC, United States. pp.440-444. ⟨hal-01027463⟩
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