Title :
Face Recognition using Sub-Holistic PCA
Author :
Khan, M.M. ; Javed, M. Younus ; Anjum, M.A.
Author_Institution :
College of Electrical and Mechanical Engineering National University of Sciences and Technology, Rawalpindi, Pakistan. m.murtazakhan@gmail.com
Abstract :
This paper proposes a face recognition scheme that enhances the correct face recognition rate as compared to conventional Principal Component Analysis (PCA). The proposed scheme, Sub-Holistic PCA (SH-PCA), was tested using ORL database and out performed PCA for all test scenarios. SH-PCA requires more computational power and memory as compared to PCA however it yields an improvement of 6% correct recognition on the complete ORL database of 400 images. The correct recognition rate for the complete ORL database is 90% for the SH-PCA technique.
Keywords :
Eigenface[unk]; Eigenvalues; Histogram Equalization; Holistic; PCA; Covariance matrix; Educational institutions; Eigenvalues and eigenfunctions; Face recognition; Image databases; Mechanical engineering; Performance evaluation; Principal component analysis; Surveillance; Testing; Eigenface[unk]; Eigenvalues; Histogram Equalization; Holistic; PCA;
Conference_Titel :
Information and Communication Technologies, 2005. ICICT 2005. First International Conference on
Print_ISBN :
0-7803-9421-6
DOI :
10.1109/ICICT.2005.1598573