A Circular Grid-Based Rotation Invariant Feature Extraction Approach for Off-line Signature Verification
Identifieur interne : 002045 ( Main/Exploration ); précédent : 002044; suivant : 002046A Circular Grid-Based Rotation Invariant Feature Extraction Approach for Off-line Signature Verification
Auteurs : Marianela Parodi [Argentine] ; Juan Carlos Gomez [Argentine] ; Abdel Belaïd [France]Source :
English descriptors
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Abstract
One of the main challenges in off-line signature verification systems is to make them robust against rotation of the signatures. A new technique for rotation invariant feature extraction based on a circular grid is proposed in this paper. Graphometric features for the circular grid are defined by adapting similar features available for rectangular grids, and the property of rotation invariance of the Discrete Fourier Transform (DFT) is used in order to achieve robustness against rotation. A Support Vector Machine (SVM) based classifier scheme is used for classification tasks. Experimental results on a public database show that the proposed verification system has a performance comparable to similar state-of-theart signature verification systems with the additional advantage of being robust against rotation of the signatures.
Url:
DOI: 10.1109/ICDAR.2011.259
Affiliations:
- Argentine, France
- Grand Est, Lorraine (région)
- Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine
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Le document en format XML
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Extraction</term><term>Off-line Signature Verification</term><term>Rotation Invariance Property</term><term>Rotation Invariance Property.</term><term>Support Vector Machine classifiers</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">One of the main challenges in off-line signature verification systems is to make them robust against rotation of the signatures. A new technique for rotation invariant feature extraction based on a circular grid is proposed in this paper. Graphometric features for the circular grid are defined by adapting similar features available for rectangular grids, and the property of rotation invariance of the Discrete Fourier Transform (DFT) is used in order to achieve robustness against rotation. A Support Vector Machine (SVM) based classifier scheme is used for classification tasks. Experimental results on a public database show that the proposed verification system has a performance comparable to similar state-of-theart signature verification systems with the additional advantage of being robust against rotation of the signatures.</div></front></TEI><affiliations><list><country><li>Argentine</li><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Nancy</li></settlement><orgName><li>Institut national polytechnique de Lorraine</li><li>Université Nancy 2</li><li>Université de Lorraine</li></orgName></list><tree><country name="Argentine"><noRegion><name sortKey="Parodi, Marianela" sort="Parodi, Marianela" uniqKey="Parodi M" first="Marianela" last="Parodi">Marianela Parodi</name></noRegion><name sortKey="Gomez, Juan Carlos" sort="Gomez, Juan Carlos" uniqKey="Gomez J" first="Juan Carlos" last="Gomez">Juan Carlos Gomez</name></country><country name="France"><region name="Grand Est"><name sortKey="Belaid, Abdel" sort="Belaid, Abdel" uniqKey="Belaid A" first="Abdel" last="Belaïd">Abdel Belaïd</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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