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In the final stage of the pattern recognition process the Haar classifier was used with normalized training samples. The proposed algorithm and only Haar classifier with non-normalized samples were tested on 500 blurred images: in 8% of samples both algorithms provided semantic integrity preservation and in 64% only the developed algorithm worked effectively.<\/jats:p>","DOI":"10.4018\/ijertcs.2019070108","type":"journal-article","created":{"date-parts":[[2019,6,6]],"date-time":"2019-06-06T15:45:04Z","timestamp":1559835904000},"page":"118-140","source":"Crossref","is-referenced-by-count":4,"title":["Methods of Semantic Integrity Preservation in the Pattern Recognition Process"],"prefix":"10.4018","volume":"10","author":[{"given":"Iuliia","family":"Kim","sequence":"first","affiliation":[{"name":"ITMO University, Saint Petersburg, Russia"}]},{"given":"Anastasiia","family":"Matveeva","sequence":"additional","affiliation":[{"name":"ITMO University, Saint Petersburg, Russia"}]},{"given":"Ilya","family":"Viksnin","sequence":"additional","affiliation":[{"name":"ITMO University, Saint Petersburg, Russia"}]},{"given":"Roman","family":"Patrikeev","sequence":"additional","affiliation":[{"name":"ITMO University, Saint Petersburg, Russia"}]}],"member":"2432","reference":[{"key":"IJERTCS.2019070108-0","doi-asserted-by":"crossref","unstructured":"Akinin, M. 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