Incremental learning algorithm for face recognition

Chenlong Guo; Simin Huang; Haiyan Zheng

doi:10.1117/12.2514808

29 October 2018 Incremental learning algorithm for face recognition

Chenlong Guo, Simin Huang, Haiyan Zheng

Proceedings Volume 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence; 108361S (2018) https://doi.org/10.1117/12.2514808
Event: 2018 International Conference on Image, Video Processing and Artificial Intelligence, 2018, Shanghai, China

Abstract

Traditional face recognition based on the machine learning often adopts the batch learning method, but in the practical applications, the training data of face recognition system can not be obtained at one time, but is obtained one by one with the passage of time. When there are new training samples, the whole system needs to be retrained by using batch learning method. In order to solve this problem, an incremental learning algorithm, online sequential extreme learning machine, is applied to the face recognition. The algorithm can not only train the data one after another, but also can be learned from one batch after another. Experimental results show that this algorithm has the advantages of high speed, high recognition rate and simple parameter selection in the face recognition, and it can be used as a good choice for the online updating of the face recognition system.

Citation Download Citation

Chenlong Guo, Simin Huang, and Haiyan Zheng "Incremental learning algorithm for face recognition", Proc. SPIE 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence, 108361S (29 October 2018); https://doi.org/10.1117/12.2514808

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