Generation of Digital Signature from Multi-Feature Biometric Traits for Digital Right Management Control
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F14%3APU108907" target="_blank" >RIV/00216305:26220/14:PU108907 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/RAECS.2014.6799558" target="_blank" >http://dx.doi.org/10.1109/RAECS.2014.6799558</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/RAECS.2014.6799558" target="_blank" >10.1109/RAECS.2014.6799558</a>
Alternative languages
Result language
angličtina
Original language name
Generation of Digital Signature from Multi-Feature Biometric Traits for Digital Right Management Control
Original language description
This paper addresses the issue of ownership of digital images by embedding imperceptible digital pattern in the image. The digital pattern is generated from multiple biometric features in a strategic matter so that the identification of individual subject can be done. The features from iris image and fingerprint image are strategically combined to generate the pattern. This digital pattern was embedded and extracted from the host image and the experiments were also carried out when the image was subjected to signal processing attacks. Experimental results indicate that the insertion of this digital pattern does not change the perceptual properties of the image, and the digital pattern survives signal processing attacks and can be extracted for unique identification.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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)
Result continuities
Project
<a href="/en/project/FR-TI4%2F151" target="_blank" >FR-TI4/151: Research and development of technology for machine emotion detection in unstructured data</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Engineering and Computational Sciences (RAECS), 2014 Recent Advances in
ISBN
978-1-4799-2290-1
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
1-4
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Chandigarh
Event date
Mar 6, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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