{'fraction_non_alphanumeric': 0.017543859649122806, 'fraction_numerical': 0.005847953216374269, 'mean_word_length': 5.523809523809524, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Research on Vehicle Type Classification Method Based on Fusion Features

In order to solve the problem of automatic charging for different types of vehicles in expressway automatic toll collection system, firstly vehicle feature extraction method based on Histogram of Oriented Gradient(HOG) and Gabor transform is analyzed. Secondly, a vehicle type classification method based on fusion features is proposed. Finally, we carried on the experimental study; the experimental results show that the method based on fusion features is superior to the single feature method such as directional gradient histogram and Gabor transform. The classification rate of vehicle type reached 89.56%.