Intelligent Identification Method of Bicycle Logo Based on Haar Classifier

It is an important issue how to store and take bicycles quickly in the bicycle stereo garage. In order to solve this problem, a bicycle character identification method based on Haar classifier is proposed for the problem of changing ambient lighting and various bicycle types in the actual scene. Image filtering is firstly performed to eliminate noise interference in the environment. Secondly, image graying and normalization are performed to obtain a grayscale image of uniform size. Then, Haar-like features in the image are extracted, and the integral image is used to speed up feature extraction efficiently. Finally, the classifier is generated by using the AdaBoost algorithm and the cascader. The experiment results show that the method can identify the type of bicycle logo accurately and quickly, and the recognition rate can reach 88.89%.