{'fraction_non_alphanumeric': 0.007530120481927711, 'fraction_numerical': 0.0, 'mean_word_length': 5.045454545454546, '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 Comparative Analysis & Survey of various Feature Extraction Techniques

Feature extraction is a process of extracting the common features from the image so that it can be used for a variety of application. There are various techniques implemented for extracting the image features. These features can be used for image matching or recognition techniques or learning in supervised algorithms. Here in this paper all techniques that are implemented for the extraction of features is discussed and a comparative analysis is shown in the paper so that by analyzing the various limitations of the algorithms a new and efficient technique can be implemented in future.