Study of face recognition based on improved kNN algorithm
GAN Shou-fei
Abstract：This paper analyzed the face recognition process and structural design. It shows that classification algorithm selection determines the results of face recognition quality. Thus, the classical kNN algorithm was analyzed, and put forward the improved kNN classification algorithm by taking k value dynamically. Through the experimental test, it proves that the improved kNN classification algorithm can effectively improve the stability of the identification accuracy.
Keywords：face recognitionfeature extractionk-nearest-neighborhood
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 52-55 )