Research on Multi-channel Face Expression Recognition Method Based on Frequency Domain Filtering and Gabor Features

LI Ju; QIAN Li-xing

Computer & Telecommunication ›› 2025, Vol. 1 ›› Issue (5) : 16-21.

LI Ju, QIAN Li-xing

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Abstract

The current face expression recognition methods mainly focus on the spatial domain when facing scenes such as emotional computing, human-computer interaction, intelligent monitoring. However, the spatial domain method has the problem of being difficult to deal with the noise, while the frequency domain processing is limited to the details that cannot be well taken into account in the global. In order to solve this problem, a multi-channel face expression recognition method based on frequency domain low-pass filtering and Gabor feature fusion is proposed, which is able to combine the global structural information of the image in the low-pass frequency domain filtering and the global detail information in the Gabor filtering through channel fusion under the premise of small changes in network overhead, so as to make up for the defects of the conventional processing methods, and ultimately improve the face expression recognition model. Finally, the accuracy of the face expression recognition model is improved. The experimental results show that the method improves the accuracy by 0.78% and 1.86% on the publicly available face expression recognition datasets FER2013 and RAF-DB, respectively. It is also demonstrated by means of ablation experiments that this combination method can make up for the defects of each other to a certain extent, which shows that this fusion method has a better effect.

Key words

frequency domain filtering / Gabor transformation / multi-channel fusion / facial expression recognition / image processing

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LI Ju, QIAN Li-xing. Research on Multi-channel Face Expression Recognition Method Based on Frequency Domain Filtering and Gabor Features[J]. Computer & Telecommunication. 2025, 1(5): 16-21

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