کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
413005 679708 2009 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Feature extraction using fuzzy inverse FDA
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Feature extraction using fuzzy inverse FDA
چکیده انگلیسی

This paper proposes a new method of feature extraction and recognition, namely, the fuzzy inverse Fisher discriminant analysis (FIFDA) based on the inverse Fisher discriminant criterion and fuzzy set theory. In the proposed method, a membership degree matrix is calculated using FKNN, then the membership degree is incorporated into the definition of the between-class scatter matrix and within-class scatter matrix to get the fuzzy between-class scatter matrix and fuzzy within-class scatter matrix. Experimental results on the ORL, FERET face databases and pulse signal database show that the new method outperforms Fisherface, fuzzy Fisherface and inverse Fisher discriminant analysis.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 72, Issues 13–15, August 2009, Pages 3384–3390
نویسندگان
, , , , ,