Invariant pattern recognition using contourlets and AdaBoost Export

@article{ChenK09, abstract = {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.}, author = {Chen, G. Y. and K\'{e}gl, B.}, citeulike-article-id = {5739060}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.patcog.2009.08.020}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S0031320309003355}, day = {04}, doi = {10.1016/j.patcog.2009.08.020}, issn = {00313203}, journal = {Pattern Recognition}, keywords = {adaboost, classification, contourlets, extraction, feature, palmprint, wavelets}, month = {September}, posted-at = {2009-09-08 09:21:36}, priority = {2}, title = {Invariant pattern recognition using contourlets and AdaBoost}, url = {http://dx.doi.org/10.1016/j.patcog.2009.08.020}, year = {2009} }

TY - JOUR ID - ChenK09 L3 - citeulike-article-id:5739060 N2 - 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. JF - Pattern Recognition SN - 00313203 TI - Invariant pattern recognition using contourlets and AdaBoost KW - adaboost KW - classification KW - contourlets KW - extraction KW - feature KW - palmprint KW - wavelets AU - Chen, GY AU - Kégl, B PY - 2009/09/04/ UR - http://dx.doi.org/10.1016/j.patcog.2009.08.020 ER -