کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
536256 | 870487 | 2006 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Improved-LDA based face recognition using both facial global and local information
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Improved-LDA based face recognition using both facial global and local information Improved-LDA based face recognition using both facial global and local information](/preview/png/536256.png)
چکیده انگلیسی
To achieving higher classification rate under various conditions is challenging task in face recognition community. This paper presents a combined feature Fisher classifier (CF2C) approach for face recognition, which is robust to moderate changes of illumination, pose and facial expression. The novelty of the method are: (1) the facial combined feature used for face representation, which is derived from facial global and local information extracted by DCT and (2) the development of Fisher classifier for high-dimensional multi-classes problem. Experiments on ORL and Yale face databases show that the proposed approach is superior to the traditional methods such as Eigenfaces and Fisherfaces.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 27, Issue 6, 15 April 2006, Pages 536–543
Journal: Pattern Recognition Letters - Volume 27, Issue 6, 15 April 2006, Pages 536–543
نویسندگان
Dake Zhou, Xin Yang, Ningsong Peng, Yuzhong Wang,