Implementation of Human Face Detection System for Door Security using Raspberry Pi

  • Deshmukh S
  • U. A. P
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Abstract

Nowadays the number of thefts and identity fraud has become a serious issue. In order to avoid these thefts and identity fraud, a face recognition system must be established. The scope of this project is to develop a security access control application based on face recognition. The haar-like features is used for face detection and HOG +SVM algorithm is used for face recognition. In order to achieve a higher accuracy and effectiveness we use OpenCV libraries and python computer language. Training and identification is done in embedded device known as Raspberry Pi.

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Deshmukh, S. V., & U. A., P. Dr. K. (2017). Implementation of Human Face Detection System for Door Security using Raspberry Pi. IJIREEICE, 5(4), 186–191. https://doi.org/10.17148/ijireeice.2017.5434

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