@inproceedings{d3109532c74a4fc78337ba6715197cd7,
title = "Improving the face recognition system by hybrid image preprocessing",
abstract = "In this paper we present a framework for improving face recognition system that have several stages. Some improvements of every stage are very important to the recognition results. Driven by this intuition, we proposed a novel scheme that gives the system a better performance. The scheme including dataset augment for learning, especially for big data requirement of deep learning. Enhancing the image contrast ratio and rotate the image for several angles that can improve the detection accuracy. Then, cropping the face in appropriate area for feature extraction and getting the optimal feature vector for face recognition at last.",
keywords = "deep learning, face recognition, framwork, preprocessing",
author = "Cheng Cui and Xin Wang and Hao Shen",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 6th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2016 ; Conference date: 19-06-2016 Through 22-06-2016",
year = "2016",
month = sep,
day = "22",
doi = "10.1109/CYBER.2016.7574866",
language = "英语",
series = "6th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "442--447",
booktitle = "6th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2016",
address = "美国",
}