Efficient Sensor Fingerprint Matching Through Fingerprint Binarization

被引：53

作者：

Bayram, Sevinc ^{[1
]}

Sencar, Husrev Taha ^{[2
]}

Memon, Nasir ^{[3
]}

机构：

[1] NYU Abu Dhabi, Dept Engn, Abu Dhabi, U Arab Emirates

[2] TOBB ETU, Dept Comp Engn, TR-06560 Ankara, Turkey

[3] NYU, Polytech Inst, Dept Comp Sci & Engn, Brooklyn, NY 11201 USA

来源：

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY | 2012年 / 7卷 / 04期

关键词：

Database management; photo-response nonuniformity (PRNU) noise; quantization;

D O I：

10.1109/TIFS.2012.2192272

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：1404 / 1413

页数：10