M-band wavelet transform in face recognition system

Wan Wong Yee, Phooi Seng Kah, Li Minn Ang

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

The low-frequency subband of DWT decomposition has been used as the important subband in face recognition system. But we believe that some subbands other than low-frequency subband contain discriminative information. Consequently, a series of experiments are carried out to test the recognition accuracy on various combinations of the low-frequency with some mid- and high-freqeuncy subbands and subbands that perform the best are selected. We use the M-band decomposition to decompose a face image into smaller frequency subbands. The resulting best combination of low-frequency subband and some subbands named as MBCom achieves a higher recognition rate as compared to the low-frequency subband alone. The MBCom is proposed to work in conjunction with PCA and it outperforms other feature extraction methods in term of recognition rate.

Original languageEnglish
Title of host publication5th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2008
Pages453-456
Number of pages4
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event5th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2008 - Krabi, Thailand
Duration: 14 May 200817 May 2008

Publication series

Name5th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2008
Volume1

Conference

Conference5th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2008
Country/TerritoryThailand
CityKrabi
Period14/05/0817/05/08

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