کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
407819 | 678175 | 2012 | 7 صفحه PDF | دانلود رایگان |
Based on force field convergence map and Log-Gabor filter, a novel multi-view ear feature extraction approach is proposed. This work first introduces the basic concepts and principles of force field transformation. Then a discussion on why force field convergence map rather than force field transformation is more suitable for multi-view ear feature extraction is given. After getting multi-view ear force field convergence map, Log-Gabor filter is applied to extract multiple scale and multiple orientation features. Finally, to verify the effectiveness of the proposed feature extraction method, different classifiers and different multi-view ear dataset are well utilized, to perform multi-view ear classification task. Experimental results and comparisons show the efficiency and the superiority of the proposed convergence map with the Log-Gabor filter method.
Journal: Neurocomputing - Volume 76, Issue 1, 15 January 2012, Pages 2–8