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Reconnaissance et Extraction de Pièces d'identité

Identifieur interne : 000069 ( Hal/Checkpoint ); précédent : 000068; suivant : 000070

Reconnaissance et Extraction de Pièces d'identité

Auteurs : Olivier Augereau [France] ; Nicholas Journet [France] ; Jean-Philippe Domenger [France]

Source :

RBID : Hal:hal-00708565

Descripteurs français

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.

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Hal:hal-00708565

Le document en format XML

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<div type="abstract" xml:lang="en">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.</div>
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<title xml:lang="fr">Reconnaissance et Extraction de Pièces d'identité</title>
<author role="aut">
<persName>
<forename type="first">Olivier</forename>
<surname>Augereau</surname>
</persName>
<email>augereau@labri.fr</email>
<ptr type="url" target="http://olivier-augereau.com"></ptr>
<idno type="halAuthorId">668256</idno>
<affiliation ref="#struct-3102"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">Nicholas</forename>
<surname>Journet</surname>
</persName>
<email>journet@labri.fr</email>
<idno type="halAuthorId">498093</idno>
<affiliation ref="#struct-3102"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">Jean-Philippe</forename>
<surname>Domenger</surname>
</persName>
<email>domenger@labri.fr</email>
<idno type="halAuthorId">315378</idno>
<affiliation ref="#struct-3102"></affiliation>
</author>
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<monogr>
<title level="m">Actes du douzième Colloque International Francophone sur l'Écrit et le Document</title>
<meeting>
<title>Colloque International Francophone sur l'Écrit et le Document</title>
<date type="start">2012-03-21</date>
<date type="end">2012-03-23</date>
<settlement>Bordeaux</settlement>
<country key="FR">France</country>
</meeting>
<imprint>
<biblScope unit="pp">179-194</biblScope>
<date type="datePub">2012-03-21</date>
</imprint>
</monogr>
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<langUsage>
<language ident="fr">French</language>
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<keywords scheme="author">
<term xml:lang="fr">point d'intérêts</term>
<term xml:lang="fr">FLANN</term>
<term xml:lang="fr">SURF</term>
<term xml:lang="fr">RANSAC</term>
<term xml:lang="fr">recherche de sous-image</term>
</keywords>
<classCode scheme="halDomain" n="info.info-ts">Computer Science [cs]/Signal and Image Processing</classCode>
<classCode scheme="halDomain" n="spi.signal">Engineering Sciences [physics]/Signal and Image processing</classCode>
<classCode scheme="halDomain" n="info.info-tt">Computer Science [cs]/Document and Text Processing</classCode>
<classCode scheme="halTypology" n="COMM">Conference papers</classCode>
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<abstract xml:lang="en">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.</abstract>
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