Practical Application of Method of Automated Personal Identification by Fingerprints Using Convolution Neural Networks

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dc.contributor.authorNovak, Y.
dc.contributor.authorMazurets, O.
dc.contributor.authorМазурець, Олександр Вікторович
dc.date.accessioned2024-12-10T18:18:37Z
dc.date.available2024-12-10T18:18:37Z
dc.date.issued2023
dc.description.abstractThe automated fingerprint identification method uses convolutional neural networks to analyze fingerprint photos. It includes modules for identification, image preprocessing, feature extraction, and comparison with a fingerprint database to identify individuals. Each module performs specific tasks essential for the system's functionality, from processing input images to matching extracted features for accurate identification.
dc.identifier.citationNovak Y., Mazurets O. Practical Application of Method of Automated Personal Identification by Fingerprints Using Convolution Neural Networks. Proceedings of V International Scientific and Practical Conference «Modern strategies of global scientific solutions». December 27-29, 2023. Stockholm, Sweden, International Scientific Unity. 2023. Pp. 136-140.
dc.identifier.urihttps://elar.khmnu.edu.ua/handle/123456789/17217
dc.language.isoen
dc.titlePractical Application of Method of Automated Personal Identification by Fingerprints Using Convolution Neural Networks
dc.typeСтаття
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