کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
533575 870138 2010 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Invariant pattern recognition using contourlets and AdaBoost
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Invariant pattern recognition using contourlets and AdaBoost
چکیده انگلیسی

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 43, Issue 3, March 2010, Pages 579–583
نویسندگان
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