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  • Local-DCT features for facial recognition

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    53699_1.pdf (307.9Kb)
    Author(s)
    Schwerin, B
    Paliwal, K
    Griffith University Author(s)
    Schwerin, Belinda M.
    Paliwal, Kuldip K.
    Year published
    2008
    Metadata
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    Abstract
    This paper presents the results of a project investigating the use of Discrete-Cosine transform (DCT) to represent facial images of an identity recognition system. The objective was to address the problem of sensitivity to variation in illumination, faced by commercially available systems. The proposed method uses local, block-wise DCT to extract the features of the image. Results show that this appearance based method gives high identification rates, improved tolerance to variation in illumination, and simple implementation.This paper presents the results of a project investigating the use of Discrete-Cosine transform (DCT) to represent facial images of an identity recognition system. The objective was to address the problem of sensitivity to variation in illumination, faced by commercially available systems. The proposed method uses local, block-wise DCT to extract the features of the image. Results show that this appearance based method gives high identification rates, improved tolerance to variation in illumination, and simple implementation.
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    Conference Title
    2nd International Conference on Signal Processing and Communication Systems, ICSPCS 2008 - Proceedings
    Publisher URI
    https://ieeexplore.ieee.org/xpl/conhome/4811121/proceeding
    DOI
    https://doi.org/10.1109/ICSPCS.2008.4813751
    Copyright Statement
    © 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
    Subject
    Signal processing
    Publication URI
    http://hdl.handle.net/10072/23600
    Collection
    • Conference outputs

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