A Circular Grid-Based Rotation Invariant Feature Extraction Approach for Off-line Signature Verification

Marianela Parodi 1 Juan Carlos Gomez 1 Abdel Belaïd 2
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LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
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.
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Communication dans un congrès
11th International Conference on Document Analysis and Recognition - ICDAR 2011, Oct 2011, Bejing, China. IEEE Computer Society, pp.1289-1293, 2011, 〈10.1109/ICDAR.2011.259〉
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https://hal.inria.fr/inria-00635385
Contributeur : Abdel Belaid <>
Soumis le : mardi 25 octobre 2011 - 11:09:10
Dernière modification le : jeudi 9 août 2018 - 01:13:19

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Marianela Parodi, Juan Carlos Gomez, Abdel Belaïd. A Circular Grid-Based Rotation Invariant Feature Extraction Approach for Off-line Signature Verification. 11th International Conference on Document Analysis and Recognition - ICDAR 2011, Oct 2011, Bejing, China. IEEE Computer Society, pp.1289-1293, 2011, 〈10.1109/ICDAR.2011.259〉. 〈inria-00635385〉

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