@article {
	title = {Authentication of Area Fingerprint Scanners},
	author = {Ivanov, Vladimir I., Baras, John S.},
	year = {2016},
	month = {11/2016},
	abstract = {Each area fingerprint scanner (sensor) has a unique scanner pattern that can~be used to distinguish one scanner from another. The pattern results from im-~perfections in the conversion of the signal acquired from the object applied to the scanner into a digital image. The scanner pattern is a suciently unique,~persistent, and unalterable intrinsic characteristic of the ngerprint scanners~even to those of the same technology, manufacturer, and model. We propose a~model of the image acquisition in widely-used capacitive area ngerprint scan-~ners and a method to extract the pattern from a single image and compare it~with a similarly extracted pattern from another image. The method is very~simple and computationally ecient yet extremely accurate, achieving an equal~error rate in the order of 1e-7 for 22 scanners of exactly the same model, and is~also robust in a wide range of conditions. The scanner pattern can be used to~enhance the security of a biometric system by detecting an attack in which an~image containing the ngerprint pattern of the legitimate user and acquired by~the authentic ngerprint scanner has been replaced by another image that may~still contain the ngerprint pattern of the legitimate user but has been acquired~by another, unauthentic ngerprint scanner, i.e., for scanner authentication.},
	journal = {Submitted to Journal of Pattern Recognition}
}
