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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 6, ISSUE 4, APRIL 2017

Face Detection and Face Recognition Using Raspberry Pi

Shrutika V. Deshmukh, Prof Dr. U. A. Kshirsagar

DOI: 10.17148/IJARCCE.2017.6414

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.



Keywords: Face detection, Face recognition, raspberry pi, security.

How to Cite:

[1] Shrutika V. Deshmukh, Prof Dr. U. A. Kshirsagar, “Face Detection and Face Recognition Using Raspberry Pi,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.6414