Generation of Digital Signature from Multi-Feature Biometric Traits for Digital Right Management Control

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Generation of Digital Signature from Multi-Feature Biometric Traits for Digital Right Management Control

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Generation of Digital Signature from Multi-Feature Biometric Traits for Digital Right Management Control

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/FR-TI4%2F151" target="_blank" >FR-TI4/151: Výzkum a vývoj technologie pro detekci emocí v nestrukturovaných datech</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Engineering and Computational Sciences (RAECS), 2014 Recent Advances in

ISBN

978-1-4799-2290-1

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

1-4

Název nakladatele

Neuveden

Místo vydání

Neuveden

Místo konání akce

Chandigarh

Datum konání akce

6. 3. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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