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Conference Papers Year : 2017

Identity documents classification as an image classification problem

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.
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Dates and versions

hal-01660500 , version 1 (10-12-2017)

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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. pp.602-613, ⟨10.1007/978-3-319-68548-9_55⟩. ⟨hal-01660500⟩
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