{'fraction_non_alphanumeric': 0.025339366515837104, 'fraction_numerical': 0.00904977375565611, 'mean_word_length': 4.790575916230367, '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}}
Style comparisons in calligraphy

Calligraphic style is considered, for this research, visual attributes of images of calligraphic characters sampled randomly from a "work" created by a single artist. It is independent of page layout or textual content. An experimental design is developed to investigate to what extent the source of a single, or of a few pairs, of character images can be assigned to the either same work or to two different works. The experiments are conducted on the 13,571 segmented and labeled 600-dpi character images of the CADAL database. The classifier is not trained on the works tested, only on other works. Even when only a few samples of same-class pairs are available, the difference-vector of a few simple features extracted from each image of a pair yields over 80% classification accuracy for a same-work vs. different-work dichotomy. When many pairs of different classes are available for each pair, the accuracy, using the same features, is almost the same. These style-verification experiments are part of our larger goal of style identification and forgery detection.