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  • Towards a BioAPI Compliant Face Verification System

    Author(s)
    Yuan, X
    Hui, SC
    Leung, MHK
    Gao, Y
    Griffith University Author(s)
    Gao, Yongsheng
    Year published
    2004
    Metadata
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    Abstract
    Standards are important to the growth and acceptance of emerging industries such as the biometric industry. To promote biometric standard, the BioAPI Consortium has developed a widely accepted BioAPI specification that defines Application Programming Interface (API) for application developers and Service Provider Interface (SPI) for biometric technology developers. In this paper, we propose an implementation of a BioAPI compliant face verification BSP (Biometric Service Provider). In the face verification BSP, Line Edge Map (LEM) is used as the face recognition engine. Primitive biometric functions such as Capture, CreateTemplate, ...
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    Standards are important to the growth and acceptance of emerging industries such as the biometric industry. To promote biometric standard, the BioAPI Consortium has developed a widely accepted BioAPI specification that defines Application Programming Interface (API) for application developers and Service Provider Interface (SPI) for biometric technology developers. In this paper, we propose an implementation of a BioAPI compliant face verification BSP (Biometric Service Provider). In the face verification BSP, Line Edge Map (LEM) is used as the face recognition engine. Primitive biometric functions such as Capture, CreateTemplate, Process and VerifyMatch have been developed to provide support for face verification. In addition, to demonstrate the proposed face verification BSP, we have developed a BioAPI compliant face verification application for door access control. The performance of the face verification application is also evaluated.
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    Journal Title
    Computer Standards and Interface
    Volume
    26
    Issue
    4
    Publisher URI
    http://www.sciencedirect.com/science/journal/09205489
    DOI
    https://doi.org/10.1016/j.csi.2003.09.002
    Subject
    Data management and data science
    Distributed computing and systems software
    Publication URI
    http://hdl.handle.net/10072/21562
    Collection
    • Journal articles

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