Wavelet-based personal identification

S. Takano, K. Niijima, K. Kuzume

    研究成果: Chapter in Book/Report/Conference proceedingConference contribution

    3 被引用数 (Scopus)

    抄録

    This work presents a personal identification system based on the learning of the lifting dyadic wavelet filters. Our system consists of face learning, detection, and identification processes. In the learning process, free parameters in the lifting filters are determined so as to capture a facial part. Our face detection method is performed by applying the learned filters to each of the video frames. A person whose face is detected in a maximum number of frames is identified as a target person. In simulation, it is shown that our personal identification algorithm is fast and accurate.

    本文言語英語
    ホスト出版物のタイトルProceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ215-218
    ページ数4
    ISBN(電子版)0780382927, 9780780382923
    DOI
    出版ステータス出版済み - 2003
    イベント3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003 - Darmstadt, ドイツ
    継続期間: 12 14 200312 17 2003

    出版物シリーズ

    名前Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003

    その他

    その他3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003
    国/地域ドイツ
    CityDarmstadt
    Period12/14/0312/17/03

    All Science Journal Classification (ASJC) codes

    • 信号処理

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