{'fraction_non_alphanumeric': 0.010432190760059613, 'fraction_numerical': 0.0, 'mean_word_length': 6.073684210526316, '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}}
Information-theoretic analysis of desynchronization invariant object identification

This paper is dedicated to the analysis of object identification under desynchronization distortions. While this class of degradations is almost unavoidable in the functionality of such systems especially at the verification stage via acquisition imperfections, currently available their performance limits do not take its impact into consideration. In this paper we will try to close this gap providing the estimation of the achievable identification rates due to desynchronization distortions. Finally, the impact of the codeword length on the identification performance is justified.