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Face Recognition System as a Method of Authentication

Face Recognition System as a Method of Authenticationvon Benard Ogere Ekemu Sie sparen 15% des UVP sparen 15%
Über Face Recognition System as a Method of Authentication

This study invested the face recognition system as a method of authentication for recognition of students in Mengo Senior secondary school. The objectives of the study where to study the inherent weaknesses of other technologies that are already existing, to determine the requirements for the Face Recognition Systems as a method of authentication for Mengo Senior School, to design the Face Recognition System for the purpose of authentication and to implement a working prototype of the Face Recognition System as a method of authentication for Mengo Senior School. The methods used in data collection were structured questionnaires and interviews.The author used C# programming language to develop the algorithms of the system. Visual Studio was also used to design interfaces and open CV libraries. Thus, the system was developed, tested and proved to be successful. In organizations, Back up systems should always be used.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9786200077622
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 64
  • Veröffentlicht:
  • 26. April 2019
  • Abmessungen:
  • 150x4x220 mm.
  • Gewicht:
  • 113 g.
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Beschreibung von Face Recognition System as a Method of Authentication

This study invested the face recognition system as a method of authentication for recognition of students in Mengo Senior secondary school. The objectives of the study where to study the inherent weaknesses of other technologies that are already existing, to determine the requirements for the Face Recognition Systems as a method of authentication for Mengo Senior School, to design the Face Recognition System for the purpose of authentication and to implement a working prototype of the Face Recognition System as a method of authentication for Mengo Senior School. The methods used in data collection were structured questionnaires and interviews.The author used C# programming language to develop the algorithms of the system. Visual Studio was also used to design interfaces and open CV libraries. Thus, the system was developed, tested and proved to be successful. In organizations, Back up systems should always be used.

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