Skip to Main content Skip to Navigation
Conference papers

Reconnaissance et Extraction de Pièces d'identité

Abstract : This article deals with the problem of recognition and location of identity documents within a scanned image. The aim is to detect if an identity document is present in order to locate and extract the region of interest containing it and then to provide the region to an OCR. Initially, a model of an identity document is defined and a set of points of interest are extracted from this model. In a second step, a set of points of interest is extracted from the query image. This set is matched with the model set. This matching is used to calculate the geometric transformation (translation, rotation, zoom) allowing the registration between the model and query image. The position is determined by using the transformation matrix, so the identity can be extracted.
Complete list of metadata

Cited literature [20 references]  Display  Hide  Download
Contributor : Olivier Augereau <>
Submitted on : Friday, June 15, 2012 - 12:06:55 PM
Last modification on : Friday, April 30, 2021 - 12:36:02 PM
Long-term archiving on: : Sunday, September 16, 2012 - 2:40:31 AM


Files produced by the author(s)


  • HAL Id : hal-00708565, version 1



Olivier Augereau, Nicholas Journet, Jean-Philippe Domenger. Reconnaissance et Extraction de Pièces d'identité. Colloque International Francophone sur l'Écrit et le Document, Mar 2012, Bordeaux, France. pp.179-194. ⟨hal-00708565⟩



Record views


Files downloads