Гороховатський, В. О.Власенко, Н. В.Рибалка, М. О.2021-07-022021-07-022021Гороховатський В. О. Застосування засобів хешування даних для прискорення класифікаційних рішень у структурних методах розпізнавання зображень / Гороховатський В. О., Власенко Н. В., Рибалка М. О. // Сучасні інформаційні системи. – 2021. – Т. 5, №2. – С. 13–20.https://openarchive.nure.ua/handle/document/16724Анотація.The subjectof this research is the image classification methods based on a set of key points descriptors. The goalis to increase the performance of classification methods, in particular, to improve the time characteristics of classifi-cation by introducing hashing tools for reference data representation.Methodsused: ORB detector and descriptors, data hashing tools, search methods in data arrays, metrics-based apparatus for determining the relevance of vectors, software mod-eling. The obtained results: developed an effective method of image classificationbased on the introduction of high-speed search using hash structures, which speeds up the calculation dozens of times; the classification time for the considered exper-imental descriptions increases linearly with decreasing number of hashes; the minimum metric value limit choice on setting the class for object descriptors significantly affects the accuracy of classification; the choice of such limit can be optimized for fixed samples databases; the experimentally achieved accuracy of classification indicates the efficiency of the proposed method based on data hashing.The practical significanceof the work is -the classification model’s synthesis in the hash data representations space, efficiency proof of the proposed classifiers modifications on image examples, development of applied software models implementing the proposed classification methods in computer vision systemsukкомп'ютерний зірключова точкахешуванняшвидкодія обробленняArticle