Identity documents classification as an image classification problem

Ronan Sicre 1 Ahmad Montaser Awal 2 Teddy Furon 1
1 LinkMedia - Creating and exploiting explicit links between multimedia fragments
Inria Rennes – Bretagne Atlantique , IRISA_D6 - MEDIA ET INTERACTIONS
2 AriadNext
Abstract : This paper studies the classification of identification documents , which is a critical issue in various security contexts. We address this challenge as an application of image classification, a problematic that received a large attention from the scientific community. Several methods are evaluated and we report results allowing a better understanding of the specificity of identification documents. We are especially interested in deep learning approaches, showing good transfer capabilities and high performances.
Keywords : image forensic image classification document recognition
Type de document :
Communication dans un congrès
ICIAP 2017 - 19th International Conference on Image Analysis and Processing, Sep 2017, Catania, Italy. Springer, LNCS, pp.602-613, ICIAP 2017: Image Analysis and Processing - ICIAP 2017 〈10.1007/978-3-319-68548-9_55〉
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Contributeur : Teddy Furon <>
Soumis le : dimanche 10 décembre 2017 - 22:46:31
Dernière modification le : mercredi 16 mai 2018 - 11:24:14

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Ronan Sicre, Ahmad Montaser Awal, Teddy Furon. Identity documents classification as an image classification problem. ICIAP 2017 - 19th International Conference on Image Analysis and Processing, Sep 2017, Catania, Italy. Springer, LNCS, pp.602-613, ICIAP 2017: Image Analysis and Processing - ICIAP 2017 〈10.1007/978-3-319-68548-9_55〉. 〈hal-01660500〉

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