Title: Accurate facial expression recognition method based on perceptual hash algorithm

Authors: Yang Yang

Addresses: Center of Education Technology, Henan University of Economics and Law, Zhengzhou, 450046, China; School of Education, Henan University, Zhengzhou, 450046, China

Abstract: To improve recognition accuracy, a precise facial expression recognition method based on perceptual hash algorithm is proposed. Firstly, the single scale Retinex algorithm is used to enhance facial expression images. The image is divided into high-frequency and low-frequency parts through curvature change decomposition, and the image is enhanced after filtering processing. Secondly, the two-dimensional principal component analysis network is combined with a perceptual hash algorithm based on a simplified Watson model to extract image features. Finally, the feature is added to the Hash table, and based on the distance between the feature and the facial expression to be recognised, the nearest neighbour of the facial expression to be recognised is judged to achieve accurate facial expression recognition. The experimental results show that the face recognition accuracy of this method reaches over 95%, indicating that its recognition effect is good.

Keywords: perceptual hash algorithm; facial expression recognition; image enhancement; feature extraction; hashtable.

DOI: 10.1504/IJBM.2024.138234

International Journal of Biometrics, 2024 Vol.16 No.3/4, pp.364 - 380

Received: 09 Jun 2023
Accepted: 29 Aug 2023
Published online: 30 Apr 2024 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article