An Efficient Implementation of Face Recognition Based on Joint Bayesian

XU-YING ZHAO, YUE ZHAO, XING-HUI ZHOU, PENG YU

Abstract


An album face coding system is developed by python based on the human joint Bayesian algorithm that is improved and applied in face recognition. Experiments show that the system can work in real time with high accuracy.

Keywords


Face recognition, Joint Bayesian, Face code, Python.


DOI
10.12783/dtcse/cimns2017/17423

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