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| HAL : in2p3-00421717, version 1 |
| DOI : 10.1016/j.patcog.2009.08.020 |
| Fiche détaillée |  Récupérer au format |
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| Pattern Recognition 43 (2010) 579-583 |
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| Invariant pattern recognition using contourlets and AdaBoost |
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| G.Y. ChenBalázs Kégl1, 2, 3 |
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| (2010) |
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| In this paper, we propose new methods for palmprint classification and handwritten numeral recognition by using the contourlet features. The contourlet transform is a new two dimensional extension of the wavelet transform using multiscale and directional filter banks. It can effectively capture smooth contours that are the dominant features in palmprint images and handwritten numeral images. AdaBoost is used as a classifier in the experiments. Experimental results show that the contourlet features are very stable features for invariant palmprint classification and handwritten numeral recognition, and better classification rates are reported when compared with other existing classification methods. |
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| 1 : | LAL - Laboratoire de l'Accélérateur Linéaire |
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| 2 : | INRIA Saclay - Ile de France - TAO |
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| 3 : | LRI - Laboratoire de Recherche en Informatique |
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| Thème(s) | : | Informatique/Traitement du signal et de l'image Physique/Physique/Physique Numérique Sciences de l'ingénieur/Traitement du signal et de l'image |
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| Palmprint classification – Wavelets – Contourlets – Feature extraction – AdaBoost |
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| in2p3-00421717, version 1 | |
| http://hal.in2p3.fr/in2p3-00421717 | |
| oai:hal.in2p3.fr:in2p3-00421717 | |
| Contributeur : Françoise Marechal | |
| Soumis le : Vendredi 2 Octobre 2009, 16:32:13 | |
| Dernière modification le : Lundi 21 Novembre 2011, 17:33:25 | |
