Research on Electrical Symbols Recognition of HOG

Electrical symbols recognition is one of the hot spots in the field of computer vision and electrical design recently. Various factors will bring errors on computer recognition of electrical draw ings,such as size of the electrical symbols,draw ings of background fuzzy,rotation of the electrical symbols etc. . There are many electrical symbols recognition methods,but the problems are solved hardly. In order to overcome the external interference factors and improve recognition accuracy,an electrical symbol recognition method based on HOG is presented in the paper. Firstly,the electrical symbol training sets were established,and symbols of HOG feature were extracted. Secondly,support vector machine was trained by mean of these characteristics of HOG and classification information. Finally,symbols were recognized by support vector machines. Conducted different experiment of complex background research of electrical symbols and experimental study on the algorithm of the algorithm of SIFT and HOG,the results of experiments show that the proposed algorithm of HOG has good detection after experiment.