An SVM based system for automatic dates sorting

Please use this identifier to cite or link to this item: http://archives.univ-biskra.dz/handle/123456789/3135

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DC Field	Value	Language
dc.contributor.author	Djeffal Abdelhamid	-
dc.contributor.author	Babahenini Med Chaouki	-
dc.contributor.author	Taleb Ahmed Abdelmalik	-
dc.date.accessioned	2014-05-27T21:06:03Z	-
dc.date.available	2014-05-27T21:06:03Z	-
dc.date.issued	2014-05-27	-
dc.identifier.uri	http://archives.univ-biskra.dz/handle/123456789/3135	-
dc.description.abstract	In this work, we present an automatic sorting dates system based on a statistical learning technique called Support vector machine. This system is developed to be used in factories of the region of Biskra working on dates sorting and packaging. Our system analyses dates images acquired by a camera and builds a features database. The SVM technique uses then this database to search hyperplans which separate better different dates’ classes in features space. Hyperplans are used to classify new dates images. Obtained results show SVM power in dates’ images classification and validate proposed system against similar sorting systems. Link http://www.praiseworthyprize.com/IRECOS-latest/IRECOS_vol_5_n_4.html#An_SVM_Based_System_for_Automatic_Dates_Sorting	en_US
dc.language.iso	en	en_US
dc.subject	Image classification, dates sorting, support vector machine.	en_US
dc.title	An SVM based system for automatic dates sorting	en_US
dc.type	Article	en_US
Appears in Collections:	Publications Internationales

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