Face Detection and Face Recognition Using Raspberry Pi
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
