Abstract
The purpose is to develop an image hashing algorithm using convolutional neural networks. The proposed algorithm consists of three phases: (1) preliminary training the neural network on training data; (2) configuring the neural network for simultaneous training of the neural network to recognize semantic features and configuring the approximating hash-like function for computing hash codes; (3) retrieving images using the proposed hierarchical deep search algorithm.
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Translated by A. Klimontovich
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Kulikova, O.V., Dombayan, G.S. An Image Hashing Algorithm Based on a Convolutional Neural Network. Program Comput Soft 48, 407–411 (2022). https://doi.org/10.1134/S0361768822060068
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DOI: https://doi.org/10.1134/S0361768822060068