کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
409115 | 679053 | 2008 | 5 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Palmprint recognition using Gabor feature-based (2D)2PCA
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
In this paper, we propose a novel approach of Gabor feature-based (2D)2PCA (GB(2D)2PCA) for palmprint recognition. Three main steps are involved in the proposed GB(2D)2PCA: (i) Gabor features of different scales and orientations are extracted by the convolution of Gabor filter bank and the original gray images; (ii) (2D)2PCA is then applied for dimensionality reduction of the feature space in both row and column directions; and (iii) Euclidean distance and the nearest neighbor classifier are finally used for classification. The method is not only robust to illumination and rotation, but also efficient in feature matching. Experimental results demonstrate the effectiveness of our proposed GB(2D)2PCA in both accuracy and speed.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 71, Issues 13–15, August 2008, Pages 3032–3036
Journal: Neurocomputing - Volume 71, Issues 13–15, August 2008, Pages 3032–3036
نویسندگان
Xin Pan, Qiu-Qi Ruan,