{'fraction_non_alphanumeric': 0.008665511265164644, 'fraction_numerical': 0.0, 'mean_word_length': 5.08421052631579, '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}}
Car license plates detection from complex scene

We present a novel approach to extract car license plate from complex image without a reading attempt. After an algorithm of segmentation, a series of candidate regions are obtained first. Then a confidence value based on the geometrical features of the license plates is given to each candidate region and merge operation under some rules is taken. Experimental results show that the algorithm is robust in dealing with different conditions such as poor illumination and distortion of image generated by different visual angle.