The Technical Application of Applied Mathematics in Computer Face Recognition

Ziqian Gu

Article ID: 4037
Vol 6, Issue 6, 2023

VIEWS - 44 (Abstract) 75 (PDF)

Abstract


With the advancement of computer technology, face recognition, as a crucial biometric identification method, is increasingly
applied across various fields. However, the process of face recognition involves various complex mathematical problems. This article first
introduces the technical application of applied mathematics in computer face recognition and the relevant mathematical knowledge. It then
elucidates the primary areas of applied mathematics in computer face recognition, emphasizing its value in this field. Subsequently, the arti_x005fcle discusses the advantages and challenges of applying mathematics in computer face recognition. Finally, it outlines the future directions of
applying mathematics in computer face recognition technology. Through a systematic analysis of the technical and applied aspects of applied
mathematics in computer face recognition, this article aims to provide valuable insights and references for the research and development of
computer face recognition.

Keywords


Face Recognition, Applied Mathematics, Advantages, Challenges

Full Text:

PDF


References


1. [1] Li MX. Application and Development of Applied Mathematics in Informatization. Information Systems Engineering, 2021(07): 80-

2. 81+85.

3. [2]Wang WJ, Shi JC, Jiang NZ, et al. Research Progress of Principal Component Analysis in the Field of Pattern Recognition. Journal

4. of Baicheng Teachers College, 2023, 37(05): 18-25+42.

5. [3] Li H, Zhang HL. Matlab Implementation of Face Matching Algorithm Based on Joint Bayesian Algorithm. Journal of Langfang

6. Normal University (Natural Science Edition), 2016, 16(01): 31-34+41.

7. [4] Li W, Sun YJ. Face Recognition Based on Feature Extraction in the Transform Domain and Feature Selection Using Simulated An_x005fnealing. Journal of Luoyang Institute of Science and Technology (Natural Science Edition), 2017, 27(02): 70-74.

8. [5]Chen CW, Zhang JM, Zheng SJ, et al. Facial Expression Recognition in Complex Environments Based on Convolutional Neural

9. Networks. Computer Programming Skills and Maintenance, 2023(07): 124-126.




DOI: https://doi.org/10.18686/ijmss.v6i6.4037

Refbacks

  • There are currently no refbacks.




Creative Commons License

This site is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.