Confidence measure for automatic face recognition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F11%3A43896939" target="_blank" >RIV/49777513:23520/11:43896939 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Confidence measure for automatic face recognition
Original language description
The paper introduces confidence measure for automatic face recognition (AFR). Modified Kepenekci method based upon Gabor wavelets is used for AFR. The main goal of this work is automatic labelling of photographs. The recognition rate in real-world conditions is very low. Therefore, we propose a post-processing step to increase it. The confidence measure determines the probability that the recognition result is correct. It allows identifying of the incorrectly classified faces. Two confidence measures are proposed and evaluated on Czech New Agency (ČTK) data. The experiments show that confidence measure for AFR can be beneficial in some applications.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings International conference on knowledge discovery and information retrieval
ISBN
978-989-8425-79-9
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
365-368
Publisher name
SciTePress
Place of publication
Setúbal
Event location
Paris
Event date
Oct 26, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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