{'fraction_non_alphanumeric': 0.008187134502923977, 'fraction_numerical': 0.0, 'mean_word_length': 5.848, '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}}
A Combination of Laplacian Energy, Global and Adaptive Techniques for Degraded Document Image Binarization

Many document image binarization algorithms have previously been proposed for enhancing the performance of degraded document image binarization. This paper reviews algorithms for document image binarization. All of the algorithms have some advantages and disadvantages. To remove the drawbacks in this paper a combined approach is proposed that first combines different types of global and local thresholding techniques and then combines with the laplacian energy technique by logical OR operation. Experimentally the performance of the combined binarization technique is evaluated for both handwritten and printed degraded documents. The results showed that the performance of the proposed combined technique is better than some other techniques.