Research of face recognition algorithm using the deep tiled convolutional neural networks and Map-Reduce method

GUO Li-hua, NIU Xin-ya, MA Jun, LIU Yan-neng

Systems Engineering - Theory & Practice ›› 2014, Vol. 34 ›› Issue (s1) : 283-286.

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Systems Engineering - Theory & Practice ›› 2014, Vol. 34 ›› Issue (s1) : 283-286. DOI: 10.12011/1000-6788(2014)s1-283

Research of face recognition algorithm using the deep tiled convolutional neural networks and Map-Reduce method

  • GUO Li-hua1, NIU Xin-ya1, MA Jun2, LIU Yan-neng2
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Abstract

The traditional face recognition methods were based on the feature extraction, but, the process of feature extraction needs the strong prior knowledge and plenty engineering experience. This paper introduces the deep tiled convolutional neural networks (DTCNN), which can learn the feature, to implement the face recognition, but the DTCNN will encounter many problems, such as costing too much time in training and occupying too much internal memory. This paper proposes a parallel deep tiled CNN using the framework of Map-Reduce to overcome these problems. The experimental results show that the performance of face recognition of our method is better than that of traditional method based on feature extraction, and system training time cost has been greatly decreased because of the parallel framework of Map-Reduce when testing the large scale dataset.

Key words

deep tiled convolutional neural networks / Map-Reduce / face recognition / feature learning

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GUO Li-hua , NIU Xin-ya , MA Jun , LIU Yan-neng. Research of face recognition algorithm using the deep tiled convolutional neural networks and Map-Reduce method. Systems Engineering - Theory & Practice, 2014, 34(s1): 283-286 https://doi.org/10.12011/1000-6788(2014)s1-283

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