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Implement of Face Recognition in Android Platform by Using Opencv and LBT Algorithm

Received: 16 March 2016     Accepted: 31 March 2016     Published: 15 April 2016
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Abstract

One way of consideration for identifying the human IS recognition of face by portable tools like mobile and tablet. One challenge is low power in portable android tools for face recognition (identification), so GPU must be used in software connection central Graphic processor which has a good function, compared to present processors in today portable android tools. Binary pattern (local) is one of the methods that are used for characteristic production and the image stratification. In this study, it is suggested to use connection and local binary pattern histogram algorithm to use optimum software open CV and using hardware platform android to identify the face.

Published in International Journal of Wireless Communications and Mobile Computing (Volume 4, Issue 2)
DOI 10.11648/j.wcmc.20160402.13
Page(s) 25-31
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Face Recognition, Opencv, Android, LBT Algorithm

References
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Cite This Article
  • APA Style

    Liela Khobanizad, Mahmood Khobanizad, Behrouz Vaseghi, Hamid Chegini. (2016). Implement of Face Recognition in Android Platform by Using Opencv and LBT Algorithm. International Journal of Wireless Communications and Mobile Computing, 4(2), 25-31. https://doi.org/10.11648/j.wcmc.20160402.13

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    ACS Style

    Liela Khobanizad; Mahmood Khobanizad; Behrouz Vaseghi; Hamid Chegini. Implement of Face Recognition in Android Platform by Using Opencv and LBT Algorithm. Int. J. Wirel. Commun. Mobile Comput. 2016, 4(2), 25-31. doi: 10.11648/j.wcmc.20160402.13

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    AMA Style

    Liela Khobanizad, Mahmood Khobanizad, Behrouz Vaseghi, Hamid Chegini. Implement of Face Recognition in Android Platform by Using Opencv and LBT Algorithm. Int J Wirel Commun Mobile Comput. 2016;4(2):25-31. doi: 10.11648/j.wcmc.20160402.13

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  • @article{10.11648/j.wcmc.20160402.13,
      author = {Liela Khobanizad and Mahmood Khobanizad and Behrouz Vaseghi and Hamid Chegini},
      title = {Implement of Face Recognition in Android Platform by Using Opencv and LBT Algorithm},
      journal = {International Journal of Wireless Communications and Mobile Computing},
      volume = {4},
      number = {2},
      pages = {25-31},
      doi = {10.11648/j.wcmc.20160402.13},
      url = {https://doi.org/10.11648/j.wcmc.20160402.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wcmc.20160402.13},
      abstract = {One way of consideration for identifying the human IS recognition of face by portable tools like mobile and tablet. One challenge is low power in portable android tools for face recognition (identification), so GPU must be used in software connection central Graphic processor which has a good function, compared to present processors in today portable android tools. Binary pattern (local) is one of the methods that are used for characteristic production and the image stratification. In this study, it is suggested to use connection and local binary pattern histogram algorithm to use optimum software open CV and using hardware platform android to identify the face.},
     year = {2016}
    }
    

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  • TY  - JOUR
    T1  - Implement of Face Recognition in Android Platform by Using Opencv and LBT Algorithm
    AU  - Liela Khobanizad
    AU  - Mahmood Khobanizad
    AU  - Behrouz Vaseghi
    AU  - Hamid Chegini
    Y1  - 2016/04/15
    PY  - 2016
    N1  - https://doi.org/10.11648/j.wcmc.20160402.13
    DO  - 10.11648/j.wcmc.20160402.13
    T2  - International Journal of Wireless Communications and Mobile Computing
    JF  - International Journal of Wireless Communications and Mobile Computing
    JO  - International Journal of Wireless Communications and Mobile Computing
    SP  - 25
    EP  - 31
    PB  - Science Publishing Group
    SN  - 2330-1015
    UR  - https://doi.org/10.11648/j.wcmc.20160402.13
    AB  - One way of consideration for identifying the human IS recognition of face by portable tools like mobile and tablet. One challenge is low power in portable android tools for face recognition (identification), so GPU must be used in software connection central Graphic processor which has a good function, compared to present processors in today portable android tools. Binary pattern (local) is one of the methods that are used for characteristic production and the image stratification. In this study, it is suggested to use connection and local binary pattern histogram algorithm to use optimum software open CV and using hardware platform android to identify the face.
    VL  - 4
    IS  - 2
    ER  - 

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Author Information
  • Telecommunication of Non-profit Institution of Higher Education, ABA, Abyek, Qazvin, Iran

  • Electrical Engineering, Abhar Branch, Islamic Azad University, Abhar, Iran

  • Electrical Engineering, Abhar Branch, Islamic Azad University, Abhar, Iran

  • Non-profit Institution of Higher Education, ABA, Abyek, Qazvin, Iran

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