SVM KNN Algorithm for Image Classification Based on Enhanced HOG Feature
After decades of research, a large number of ways have already been applied in image classification and achieved good results. However, they still suffer from such problems not keep the details of the image well when extraction image feature and, the classifier is not efficient enough and so on. We propose an image classifier algorithm based on the enhanced HOG feature. The approach can use HOG to describe the local features of the object properties and strengthen them, at the same time, it combines the excellent performance of the SVM and KNN algorithm to make classify effects more prominent. Experimental results show a considerable improvement practicality of the image classification algorithm based on Enhanced HOG Feature.