کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
535263 870335 2006 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Face recognition based on discriminant fractional Fourier feature extraction
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Face recognition based on discriminant fractional Fourier feature extraction
چکیده انگلیسی

Developed from the conventional Fourier transform, the fractional Fourier transform is a powerful signal analysis and processing technique. In this paper, we apply it to the field of face recognition. By combining it with the discrimination analysis technique, we propose a new face recognition approach. First, we use a two-dimensional separability judgment to select appropriate value of angle parameter for discrete fractional Fourier transform. Second, we present a reformative Fisherface method to extract discriminative features from the preprocessed images and perform the classification using the nearest neighbor classifier. Experimental results on two public face databases indicate that our approach outperforms four representative discrimination methods. It obtains better and robust classification effects.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 27, Issue 13, 1 October 2006, Pages 1465–1471
نویسندگان
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