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Embedded door access control systems based on face recognition: a survey

Conference Paper


Abstract


  • The implementation of face recognition techniques

    in an embedded system is a very important aspect of various

    security applications, such as authorization identification in cash

    machines and door access for employee attendance. The purpose

    of this paper is to survey the existing hardware implementations

    of a face recognition system, particularly those who used for

    developing an embedded door access control system. This includes

    a brief discussion about face recognition algorithms and

    the hardware platforms outlining the importance of using a Field

    Programmable Gate Array (FPGA) device, which can be used to

    design an embedded door access control system. It is found that

    the success of any door access control system depends on the type

    of face recognition algorithm in the feature extraction phase of

    the face recognition system and the selected hardware device.

    Based on a comparison between different feature extraction

    algorithms, the use of a hybrid feature extraction technique can

    improve the accuracy of face recognition system. An efficient

    door access control system can be obtained using a FPGA device,

    which is preferable because of its technical characteristics of

    parallelism, re-programmability and very high speed, in the

    implementation of a face recognition system.

Publication Date


  • 2013

Citation


  • Q. Al-Shebani, P. Premarante & P. James. Vial, "Embedded door access control systems based on face recognition: a survey," in 7th International Conference on Signal Processing and Communication Systems, 2013, pp. 1-7.

Scopus Eid


  • 2-s2.0-84903840520

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/1796

Start Page


  • 1

End Page


  • 7

Abstract


  • The implementation of face recognition techniques

    in an embedded system is a very important aspect of various

    security applications, such as authorization identification in cash

    machines and door access for employee attendance. The purpose

    of this paper is to survey the existing hardware implementations

    of a face recognition system, particularly those who used for

    developing an embedded door access control system. This includes

    a brief discussion about face recognition algorithms and

    the hardware platforms outlining the importance of using a Field

    Programmable Gate Array (FPGA) device, which can be used to

    design an embedded door access control system. It is found that

    the success of any door access control system depends on the type

    of face recognition algorithm in the feature extraction phase of

    the face recognition system and the selected hardware device.

    Based on a comparison between different feature extraction

    algorithms, the use of a hybrid feature extraction technique can

    improve the accuracy of face recognition system. An efficient

    door access control system can be obtained using a FPGA device,

    which is preferable because of its technical characteristics of

    parallelism, re-programmability and very high speed, in the

    implementation of a face recognition system.

Publication Date


  • 2013

Citation


  • Q. Al-Shebani, P. Premarante & P. James. Vial, "Embedded door access control systems based on face recognition: a survey," in 7th International Conference on Signal Processing and Communication Systems, 2013, pp. 1-7.

Scopus Eid


  • 2-s2.0-84903840520

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/1796

Start Page


  • 1

End Page


  • 7