Application of intelligent algorithm in face texture extraction

Zihan Wang; Sai Li; Chuantao Wang; Shuqi Li; Mengru Yang; Tianyi Zhang

doi:10.1117/12.2640053

9 May 2022 Application of intelligent algorithm in face texture extraction

Zihan Wang, Sai Li, Chuantao Wang, Shuqi Li, Mengru Yang, Tianyi Zhang

Proceedings Volume 12252, International Conference on Biometrics, Microelectronic Sensors, and Artificial Intelligence (BMSAI); 122520M (2022) https://doi.org/10.1117/12.2640053
Event: International Conference on Biometrics, Microelectronic Sensors, and Artificial Intelligence (BMSAI), 2022, Guangzhou, China

Abstract

In this paper, 45 male faces and 45 female faces were collected to evaluate the texture of human face, gray level cooccurrence Matrix (GLCM) was used to extract the texture features of male and female faces, such as energy, contrast, correlation and entropy. T test was performed with SPSS17.0 software, and the results were compared and analyzed, the experimental results show that there are statistical differences between men and women in the four features. Based on the analysis of texture and pore depth, Pearson Correlation Coefficient is 0.9795, and the correlation between pore depth and texture is very strong.

Citation Download Citation

Zihan Wang, Sai Li, Chuantao Wang, Shuqi Li, Mengru Yang, and Tianyi Zhang "Application of intelligent algorithm in face texture extraction", Proc. SPIE 12252, International Conference on Biometrics, Microelectronic Sensors, and Artificial Intelligence (BMSAI), 122520M (9 May 2022); https://doi.org/10.1117/12.2640053

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