Title :
Orthogonal discriminant analysis based on a modified Fisher criterion [feature extraction]
Author :
Hamamoto, Yoshihiko ; Ohama, Akihilto ; Kanaoka, Taiho ; Tomita, Shingo
Author_Institution :
Fac. of Eng., Yamaguchi Univ., Ube, Japan
fDate :
30 Aug-3 Sep 1992
Abstract :
The modified Fisher criterion takes into consideration the difference of covariance matrices. It is shown from experimental results that the proposed method is superior to the orthonormal discriminant vector and the Fehlauer-Eisenstein methods in terms of the error probability
Keywords :
error statistics; feature extraction; covariance matrices; error probability; feature extraction; modified Fisher criterion; Covariance matrix; Error probability; Feature extraction; Pattern analysis; Petroleum; Vectors;
Conference_Titel :
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2915-0
DOI :
10.1109/ICPR.1992.201793
