A cloud-based monitoring system via face recognition using Gabor and CS-LBP features

作者：Li, Chen^*; Wei, Wei; Li, Jiaxue; Song, Wei^*

来源：Journal of Supercomputing, 2017, 73(4): 1532-1546.

DOI：10.1007/s11227-016-1840-6

• Gabor
• CS-LBP
• Cloud storage
• Ubiquitous monitor
• Face detection and recognition

Face detection and recognition is an important topic in security. Currently, ubiquitous monitoring has received a large amount of attention. This paper proposes a cloud-based ubiquitous monitoring system via face recognition. It consists of a monitoring client module for face detection and recognition and a cloud storage module for data visualization. In the monitoring client module, the center-symmetric local Gabor binary pattern feature extraction method is proposed for face recognition, which combines improved multi-scale Gabor and center-symmetric local binary pattern (CS-LBP) features. This method maintains crucial local features, reduces the Gabor filter complexity, and adds rotational invariance and more precise texture information. A large number of experiments on the ORL, Yale-B, and Yale databases show that the proposed method obtains significantly better recognition rates than the LBP, CS-LBP, and Scale Gabor methods. Furthermore, we propose a Web browser-based data visualization that renders the geographic locations of the face detection and recognition results.

• 出版日期2017-4
• 单位北方工业大学