{'fraction_non_alphanumeric': 0.01129032258064516, 'fraction_numerical': 0.0, 'mean_word_length': 4.594594594594595, '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}}
Detection of Counterfeit Currency using Image Processing Techniques

The growth in the number of fake notes in the system has been tremendous over the past few years. The counterfeiters have keep developing new ways to get as close to the real paper currency as possible. This puts the common masses under grave danger of being robbed of their hard earned money. To overcome this issue, various researchers have tried to come up with different procedures to detect fake notes. In this paper, we will try to understand some of the techniques that are based on image processing and perform a comparative study of the same.