Confidence Measure for Experimental Automatic Face Recognition System

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F15%3A43926311" target="_blank" >RIV/49777513:23520/15:43926311 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-25210-0_22" target="_blank" >http://dx.doi.org/10.1007/978-3-319-25210-0_22</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-25210-0_22" target="_blank" >10.1007/978-3-319-25210-0_22</a>

Result language
angličtina
Original language name
Confidence Measure for Experimental Automatic Face Recognition System
Original language description
This paper deals with automatic face recognition in order to propose and implement an experimental face recognition system. Recognition accuracy of such a system can be improved by identification of incorrectly classified samples in the post-processing step. We would like to solve this issue by proposing and integrating a confidence measure module to identify incorrectly classified examples. We propose a novel confidence measure approach which combines four partial measures by a multi-layer perceptron.Two individual measures are based on the posterior probability and two other ones use the predictor features. The experimental results show that the proposed system is very efficient, because almost all erroneous examples are successfully detected.
Czech name
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Czech description
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Project
<a href="/en/project/ED1.1.00%2F02.0090" target="_blank" >ED1.1.00/02.0090: NTIS - New Technologies for Information Society</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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