Application of artificial neural network in biometric identification

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F18%3A00324708" target="_blank" >RIV/68407700:21260/18:00324708 - isvavai.cz</a>
Result on the web
<a href="https://www.worldwidejournals.com/paripex/issues.php?m=November&y=2018&id=89" target="_blank" >https://www.worldwidejournals.com/paripex/issues.php?m=November&y=2018&id=89</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.15373/22501991" target="_blank" >10.15373/22501991</a>

Result language
angličtina
Original language name
Application of artificial neural network in biometric identification
Original language description
The authors tested the influence of neural network settings and the input data format on the success rate of biometric identification. Human ear was chosen as the biometric identifier, and its image was captured with a thermographic camera. The authors employed various scenarios to test the following. Firstly, various numbers of hidden layer neurons were tested. Secondly, various subpixel size of the input image, which directly affects the number of input layer neuron, was tested.
Czech name
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Czech description
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Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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