Title: Feature recognition method for similar key points of human face based on adaptive median filter
Authors: Jing Liu
Addresses: Guangzhou Panyu Polytechnic, Guangzhou, Guang Dong, 511483, China
Abstract: In order to overcome the low efficiency and poor accuracy of current face feature recognition methods, this paper proposes a feature recognition method for similar key points of human face based on adaptive median filter. The preprocessing of face image including rotation, scaling and clipping was carried out to remove the influence of image background on feature recognition of similar key points of face. The grey level of the input image is mapped to the output image pixel by function mapping to achieve histogram homogenisation of the grey face image. Based on adaptive median filtering, a face image denoising model is constructed and trained. The experimental results show that the recognition time of the proposed method is less than 0.7 s, the SNR is higher than 24 dB, the recognition accuracy is more than 90%, and the recognition effect is better.
Keywords: adaptive median filter; similar key points; feature recognition; image denoising.
International Journal of Biometrics, 2021 Vol.13 No.1, pp.1 - 16
Received: 03 Dec 2019
Accepted: 05 Mar 2020
Published online: 05 Jan 2021 *