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Face Recognition for Attendance System Using Neural Networks Technique

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Published:06 June 2020Publication History

ABSTRACT

Face recognition have come from considering various aspects of this specialized perception problem such as apply for help checking attendant. In order to solve this problem, many systems have been completely changed due to this evolve to achieve more accurate results. This research aims to develop the facing attendant system to be more effective and the mechanic of the system, which students can easily verify. The cloud storage was used for Attendance System. The experiment of this research is to find the way to recognize the face by using the technique of Neural Networks, which can correctly recognize up to 95%. This model can apply with school and university.

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    • Published in

      cover image ACM Other conferences
      ISCSIC 2019: Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control
      September 2019
      397 pages
      ISBN:9781450376617
      DOI:10.1145/3386164

      Copyright © 2019 ACM

      © 2019 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 6 June 2020

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      • research-article
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      • Refereed limited

      Acceptance Rates

      ISCSIC 2019 Paper Acceptance Rate77of152submissions,51%Overall Acceptance Rate192of401submissions,48%

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