Practical Application of Method of Automated Personal Identification by Fingerprints Using Convolution Neural Networks
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2023
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Анотація
The 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.
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Novak 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.