An Improved Face Recognition Algorithm based on Fisherface and Machine Learning
Konferenz: ICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application
17.12.2021 - 19.12.2021 in Shenyang, China
Tagungsband: ICMLCA 2021
Seiten: 4Sprache: EnglischTyp: PDF
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Autoren:
Wang, Xiaoliang; Liu, Liming (TravelSky Technology Limited, Beijing, China)
Yang, Shengsong (University of Science and Technology Beijing, Beijing, China)
Inhalt:
In this paper, the face recognition problem is researched, and an improved algorithm based on Fisherface and machine learning is proposed. The proposed method mainly performs face recognition by combining Fisherface method and KNN algorithm, by firstly extracting global facial features for judgment using Fisher linear discriminant analysis method, and then using KNN method for face recognition. Finally, the weighted summation method for final face recognition is used. The experiment shows that the method has good robustness and can achieve good recognition accuracy in face images under expression changes and lighting changes.