Authenticaltion and Identification of Physical Objects using Microstructural Features

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F07501331%3A_____%2F25%3AN0000001" target="_blank" >RIV/07501331:_____/25:N0000001 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Authenticaltion and Identification of Physical Objects using Microstructural Features
Original language description
The present disclosure relates to a method for authentication of an object based on microstructural features extracted from an input surface of the object. Input surfaces of the object are processed by a feature extractor using a deep neural network from images of the object captured by a device camera. The input surfaces vary in dimensions. The feature extractor outputs an input surface uniformly sized with respect to sizes of the input surfaces. The input surface is divided into micro-surfaces which are used to train the feature extractor to identify microstructural features of the input surface. The feature extractor is applied on surfaces of other objects that have different dimensions from the input surfaces. Microstructural features of the surfaces of the objects are stored in a database. The feature extractor authenticates query objects by matching the microstructural features of a query object with the microstructural features of the other objects.
Czech name
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Czech description
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Project
<a href="/en/project/FW04020153" target="_blank" >FW04020153: NiSiD ‒ Non-Invasive and Secure IDentification</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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