Abstract
Real time face recognition systems have become an area of growing interest due to its wide area of applications. This paper exploits the energy compaction property of the wavelet transform to provide a high performance face recognition system using the PCA and ZM techniques on fused and DWT approximation sub band images. The experimental results indicate that the wavelet sub band images enhance the face recognition accuracy by 27.2% for the PCA technique and by 3.9% for the ZM technique. Results also indicate that the wavelet approximation sub band images reduce the computational time by 50% for the PCA and by 38.46% for the ZM technique.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
