Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6619
Title: Efficient Sensor Fingerprint Matching Through Fingerprint Binarization
Authors: Bayram, Sevinç
Sencar, Hüsrev Taha
Memon, Nasir
Keywords: Database management
photo-response nonuniformity (PRNU) noise
quantization
Issue Date: 2012
Publisher: IEEE-Inst Electrical Electronics Engineers Inc
Abstract: It is now established that photo-response nonuniformity noise pattern can be reliably used as a fingerprint to identify an image sensor. The large size and random nature of sensor fingerprints, however, make them inconvenient to store. Further, associated fingerprint matching method can be computationally expensive, especially for applications that involve large-scale databases. To address these limitations, we propose to represent sensor fingerprints in binary-quantized form. It is shown through both analytical study and simulations that the reduction in matching accuracy due to quantization is insignificant as compared to conventional approaches. Experiments on actual sensor fingerprint data are conducted to confirm that only a slight increase occurred in the probability of error and to demonstrate the computational efficacy of the approach.
URI: https://doi.org/10.1109/TIFS.2012.2192272
https://hdl.handle.net/20.500.11851/6619
ISSN: 1556-6013
1556-6021
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

Show full item record

CORE Recommender

SCOPUSTM   
Citations

50
checked on Sep 23, 2022

WEB OF SCIENCETM
Citations

49
checked on Sep 24, 2022

Page view(s)

24
checked on Dec 26, 2022

Google ScholarTM

Check

Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.