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Communication Dans Un Congrès Année : 2008

Content description and classification for Image recognition system

Résumé

In this paper, an heterogeneous image recognition system based on content description and classification is proposed. In this system and for an heterogeneous image database several features extraction methods are used and applied to better describes the images content. The features relevance is tested and improved through support vectors machines (SVMs) classifier of the consequent images index database. The obtained accuracy recognition of proposed system is evaluated on heterogeneous images database using precision/recall curves.
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Dates et versions

hal-00342229 , version 1 (26-11-2008)

Identifiants

Citer

Rostom Kachouri, Khalifa Djemal, Hichem Maaref, Dorra Sellami-Masmoudi, Nabil Derbel. Content description and classification for Image recognition system. 3rd International Conference on Information and Communication Technologies: From Theory to Applications (ICTTA 2008), Apr 2008, Damascus, Syria. (elec. proc.), ⟨10.1109/ICTTA.2008.4529998⟩. ⟨hal-00342229⟩
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