M-band wavelet transform in face recognition system

Wan Wong Yee, Phooi Seng Kah, Li Minn Ang

    Research output: Book chapter/Published conference paperConference paperpeer-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
    Volume1
    DOIs
    Publication statusPublished - 06 Oct 2008
    Event5th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2008 - Krabi, Thailand
    Duration: 14 May 200817 May 2008

    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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