Retracted: An Overview of Feature Extraction Methods for Handwritten Image Retrieval

In recent years, handwriting images have been widely used as research hotspots in various fields. Therefore, handwriting image retrieval has emerged. Before the handwriting image retrieval, the focus is on the feature extraction stage. In recent years, it has been a basic research problem of computer vision. The performance of feature extraction is not only the importance measure of text classification result, but also the document. Important steps before image retrieval. In this paper, the local feature extraction algorithm is summarized, and the improvement and innovation of common feature extraction algorithms at home and abroad are analyzed. Finally, the factors that should be considered in practical application are pointed out.