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Detecting Cyclostationarity in Re-Captured LCD Screens

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F15%3A00458829" target="_blank" >RIV/67985556:_____/15:00458829 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.4172/2157-7145.1000294" target="_blank" >http://dx.doi.org/10.4172/2157-7145.1000294</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.4172/2157-7145.1000294" target="_blank" >10.4172/2157-7145.1000294</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Detecting Cyclostationarity in Re-Captured LCD Screens

  • Original language description

    It is easy to display a video or picture on an LCD screen and recapture it by using a camera to hide traces of digital image manipulation or fool an access system based on face recognition technique. In this paper, we show that humans do not have a good performance in detecting recaptured data from LCD screens. Hence, it is important to have methods capable of distinguishing between natural videos and pictures and those recaptured ones. In this paper, we show that, typically, recaptured images and videos from LCD screens exhibit detectable periodic patterns that are caused by regular sampling grid of the LCD monitor and aliasing. We develop our method using the theory of cyclostationarity and experimentally validate it. The term cyclostationarity refers to a special class of signals which exhibit periodicity in their statistics. Our method will be based on the fact that a cyclostationary signal has a frequency spectrum correlated with a shifted version of itself.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA13-28462S" target="_blank" >GA13-28462S: Genuineness Analysis of Digital Videos</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Forensic Research

  • ISSN

    2157-7145

  • e-ISSN

  • Volume of the periodical

    6

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    6

  • Pages from-to

    1000294-1-1000294-6

  • UT code for WoS article

  • EID of the result in the Scopus database