Artificial Intelligence and Robotics Commons^™

Poster Session A: Face Recognition Using Sub-Holistic Pca, Muhammad Murtaza Khan, Dr. Muhammad Younus Javed, Muhammad Almas Anjum

International Conference on Information and Communication Technologies

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.