Academic Journal of Computing & Information Science, 2023, 6(6); doi: 10.25236/AJCIS.2023.060615.
Qi Yang
College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou, China
Under different environments, the accuracy of face recognition will be affected. For face image recognition, principal component analysis is used to extract the main features of face. Based on the classical bee colony algorithm, a preferred multi-objective bee colony algorithm is proposed in face image recognition. The algorithm has the ability of distinguishing and recognition, and the recognition accuracy reaches 96.7% in practical application. It has the characteristics of effectiveness and adaptability.
PCA, image recognition, multi - target colony algorithm
Qi Yang. Face recognition based on improved artificial bee colony algorithm. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 6: 96-99. https://doi.org/10.25236/AJCIS.2023.060615.
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