Application of Kernel Function in Irregular Face Recognition
MA Tian
WU Chen
QIAO Wenwen
WANG Yuanjia
SHA Yangyang
Abstract：The kernel function technique is a widely used and very effective method in the field of machine learning. The ker?nel function technique can effectively solve the dimensionality problem encountered in the high dimensional space operation,which not only greatly reduces the computational complexity in the input space. It is very important to improve the classification perfor?mance of the learning machine,the selection of the kernel function and the construction of the kernel function. However,the re?search results in this field are not many. This paper first introduces the theory of support vector machine and the basic principle of kernel function. It introduces the type of kernel function which is widely used at present,taking into account the advantages and dis?advantages of local kernel function and global kernel function and combining the two to form a new kernel function. The improved kernel search method is used to optimize the parameters and the combination coefficients of the construction kernel function. Final?ly,the algorithm is applied to the ORL face database to verify that the hybrid kernel function SVM face classification recognition ef?fect is better than the single kernel function classification effect,the experimental results confirm the effectiveness of the algorithm.
Keywords：kernel functionsupport vector machinegrid searchface recognition
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 1338-1341 )