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Volume 9
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10.3390/electronics9081227
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Article

Using Convolutional Neural Networks Based on a Taguchi Method for Face Gender Recognition

by
Cheng-Jian Lin
1,2,*,
Yu-Chi Li
1 and
Hsueh-Yi Lin
1
1
Department of Computer Science and Information Engineering, National Chin-Yi University of Technology, Taichung 411, Taiwan
2
College of Intelligence, National Taichung University of Science and Technology, Taichung 404, Taiwan
*
Author to whom correspondence should be addressed.
Electronics 2020, 9(8), 1227; https://doi.org/10.3390/electronics9081227
Submission received: 10 June 2020 / Revised: 23 July 2020 / Accepted: 27 July 2020 / Published: 30 July 2020
(This article belongs to the Section Artificial Intelligence)
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Abstract

In general, a convolutional neural network (CNN) consists of one or more convolutional layers, pooling layers, and fully connected layers. Most designers adopt a trial-and-error method to select CNN parameters. In this study, an AlexNet network with optimized parameters is proposed for face image recognition. A Taguchi method is used for selecting preliminary factors and experiments are performed through orthogonal table design. The proposed method filters out factors that are significantly affected. Finally, experimental results show that the proposed Taguchi-based AlexNet network obtains 87.056% and 98.72% average accuracy of image gender recognition in the CIA and MORPH databases, respectively. In addition, the average accuracy of the proposed Taguchi-based AlexNet network is 1.576% and 3.47% higher than that of the original AlexNet network in CIA and MORPH databases, respectively.
Keywords: convolutional neural network; Taguchi method; parameter optimization; image recognition convolutional neural network; Taguchi method; parameter optimization; image recognition

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MDPI and ACS Style

Lin, C.-J.; Li, Y.-C.; Lin, H.-Y. Using Convolutional Neural Networks Based on a Taguchi Method for Face Gender Recognition. Electronics 2020, 9, 1227. https://doi.org/10.3390/electronics9081227

AMA Style

Lin C-J, Li Y-C, Lin H-Y. Using Convolutional Neural Networks Based on a Taguchi Method for Face Gender Recognition. Electronics. 2020; 9(8):1227. https://doi.org/10.3390/electronics9081227

Chicago/Turabian Style

Lin, Cheng-Jian, Yu-Chi Li, and Hsueh-Yi Lin. 2020. "Using Convolutional Neural Networks Based on a Taguchi Method for Face Gender Recognition" Electronics 9, no. 8: 1227. https://doi.org/10.3390/electronics9081227

APA Style

Lin, C.-J., Li, Y.-C., & Lin, H.-Y. (2020). Using Convolutional Neural Networks Based on a Taguchi Method for Face Gender Recognition. Electronics, 9(8), 1227. https://doi.org/10.3390/electronics9081227

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