Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6727
Title: FLATBED SCANNER IDENTIFICATION BASED ON DUST AND SCRATCHES OVER SCANNER PLATEN
Authors: Dirik, Ahmet Emir
Sencar, Hüsrev Taha
Memon, Nasir
Keywords: Image analysis
Object detection
Issue Date: 2009
Publisher: IEEE
Source: IEEE International Conference on Acoustics, Speech and Signal Processing -- APR 19-24, 2009 -- Taipei, TAIWAN
Series/Report no.: International Conference on Acoustics Speech and Signal Processing ICASSP
Abstract: In this paper, a novel individual source scanner identification scheme is proposed. The scheme uses traces of dust, dirt, and scratches over scanner platen on scanned images to characterize a source scanner. The efficacy of the proposed scheme is substantiated with experimental analysis. The robustness of the scheme to the JPEG compression is also investigated. Experimental results show that proposed scheme could be used to match a scanned image to its source.
URI: https://doi.org/10.1109/ICASSP.2009.4959851
https://hdl.handle.net/20.500.11851/6727
ISBN: 978-1-4244-2353-8
ISSN: 1520-6149
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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