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  • 1
    Online Resource
    Online Resource
    Wiley ; 2009
    In:  Journal of Forensic Sciences Vol. 54, No. 3 ( 2009-05), p. 628-638
    In: Journal of Forensic Sciences, Wiley, Vol. 54, No. 3 ( 2009-05), p. 628-638
    Abstract: Abstract:  In this research, we examined whether fixed pattern noise or more specifically Photo Response Non‐Uniformity (PRNU) can be used to identify the source camera of heavily JPEG compressed digital photographs of resolution 640 × 480 pixels. We extracted PRNU patterns from both reference and questioned images using a two‐dimensional Gaussian filter and compared these patterns by calculating the correlation coefficient between them. Both the closed and open‐set problems were addressed, leading the problems in the closed set to high accuracies for 83% for single images and 100% for around 20 simultaneously identified questioned images. The correct source camera was chosen from a set of 38 cameras of four different types. For the open‐set problem, decision levels were obtained for several numbers of simultaneously identified questioned images. The corresponding false rejection rates were unsatisfactory for single images but improved for simultaneous identification of multiple images.
    Type of Medium: Online Resource
    ISSN: 0022-1198 , 1556-4029
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2009
    detail.hit.zdb_id: 2026357-0
    SSG: 2,1
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Wiley ; 2022
    In:  Journal of Forensic Sciences Vol. 67, No. 3 ( 2022-05), p. 1021-1032
    In: Journal of Forensic Sciences, Wiley, Vol. 67, No. 3 ( 2022-05), p. 1021-1032
    Abstract: In this research, the possibility of estimating the time a video was recorded at through electric network frequency is explored by examining various light sources in differentiating circumstances. This research focuses on videos made with smartphones. The smartphone cameras make use of an integrated complementary metal oxide semiconductor sensor. The filmed videos are analyzed using software, which employs a small electric network frequency (ENF) database to determine the time of recording of a video made in experimental circumstances. This research shows that in ideal circumstances, it is possible to determine the time stamp of a video recording made with a smartphone. However, it becomes clear that different light sources greatly influence the outcome. The best results are achieved with Halogen and Incandescent light sources, both of which also seem promising in less ideal circumstances. LED sources do work in ideal circumstances and, however, do not show much success in lesser circumstances. This research further demonstrates that there is potential in using ENF to determine a time stamp of recorded videos and provides validation on prior research on this topic. It proves usable in ideal circumstances with the presence of a clear light source on a white wall. With additional research, it has potential to become a feasible method to use for forensic settings in circumstances that are less ideal.
    Type of Medium: Online Resource
    ISSN: 0022-1198 , 1556-4029
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2026357-0
    SSG: 2,1
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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