Title

Poster Session A: Face Recognition using Sub-Holistic PCA

Abstract/Description

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.

Location

Crystal Ball Room A, Hotel Pearl Continental, Karachi, Pakistan

Session Theme

Poster Session A: Artificial Intelligence [AI-1]

Session Type

Poster Session

Session Chair

Dr. Arshad B. Siddiqui

Start Date

28-8-2005 11:15 AM

End Date

28-8-2005 11:35 AM

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Aug 28th, 11:15 AM Aug 28th, 11:35 AM

Poster Session A: Face Recognition using Sub-Holistic PCA

Crystal Ball Room A, Hotel Pearl Continental, Karachi, Pakistan

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.