Improved automatic face detection technique in color images

Kah Phooi Seng, Andy Suwandy, L. M. Ang

    Research output: Book chapter/Published conference paperConference paperpeer-review

    6 Citations (Scopus)

    Abstract

    This paper presents an automatic face detection method based on feature Invariant and knowledge-based approaches. The proposed method can segment out a person's face from a given image that consists of a head-and-shoulders view of the person and a complex background scene. It involves an algorithm that exploits the feature invariant approach based on the spatial distribution characteristics of human skin color. Only skin color regions with faces or facial regions are segmented out from the background. Non-facial regions that fall within the same chrominance range will not be segmented. The method can differentiate non-facial facial regions based on the knowledge-based approach. It also informs users automatically if no facial region presents in the image. The performance of the face detection technique is illustrated by simulation results carried out on various test images database in [1]. Comparison with existing technique in [2]-[3] is included to reveal the good performance of the proposed scheme.

    Original languageEnglish
    Title of host publicationProceedings of the IEEE Region 10 Annual International Conference/TENCON
    Publication statusPublished - 01 Dec 2004
    EventIEEE TENCON 2004 - 2004 IEEE Region 10 Conference: Analog and Digital Techniques in Electrical Engineering - Chiang Mai, Thailand
    Duration: 21 Nov 200424 Nov 2004

    Conference

    ConferenceIEEE TENCON 2004 - 2004 IEEE Region 10 Conference: Analog and Digital Techniques in Electrical Engineering
    Country/TerritoryThailand
    CityChiang Mai
    Period21/11/0424/11/04

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