Fingerprint identification using graph matching

Isenor, D K; Zaky, S.G.

doi:10.1016/0031-3203(86)90017-8

Cited by 147 publications

(46 citation statements)

References 7 publications

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“…Some examples of identifying biometric features being used for identification based systems include hand geometry, thermal patterns in the face, blood vessel patterns in the retina and hand, finger and voice prints, and handwritten signatures (see [4,6,7,13,15,22,24]). Today, a few devices based on these biometric techniques are commercially available.…”

Section: Let Us See Your Hands Eyes and Facementioning

confidence: 99%

Keystroke dynamics as a biometric for authentication

Monrose

Rubin

2000

Future Generation Computer Systems

575

301

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More than ever before the Internet is changing computing as we know it. Global access to information and resources is becoming an integral part of nearly every aspect of our lives. Unfortunately, with this global network access comes increased chances of malicious attack and intrusion. In an effort to confront the new threats unveiled by the networking revolution of the past few years reliable, rapid, and unintrusive means for automatically recognizing the identity of individuals are now being sought. In this paper we examine an emerging non-static biometric technique that aims to identify users based on analyzing habitual rhythm patterns in the way they type.

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Section: Let Us See Your Hands Eyes and Facementioning

confidence: 99%

Keystroke dynamics as a biometric for authentication

Monrose

Rubin

2000

Future Generation Computer Systems

575

301

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“…Fingerprint-matching algorithms include minutiae-based matching [2], transform feature-based matching [3], graph -based matching [4] and hybrid feature-based matching [5]. Minutiae-based representation is storage efficient and testified to be a high efficient way during the last several hundred years.…”

Section: Introductionmentioning

confidence: 99%

Minutiae-based Triangular Acreage Fingerprint Match Method

Wang¹,

Zhao²,

Sun³

2015

IJSIA

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“…In such circumstances, fingerprint recognition can be regarded as a point-set matching problem, where the best match with the maximal number of corresponding point pairs in the two point sets is searched under certain error restriction. Many solutions have been proposed to solve this problem [1][2] [3][4] [5]. Most of the proposed methods are based on a rigid-body model, and do not have a proper way to handle the elastic distortion problem in fingerprint matching.…”

Section: Introductionmentioning

confidence: 99%

Ridge-Based Fingerprint Recognition

Xie¹,

Su²,

Cai³

2005

Advances in Biometrics

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Abstract.A new fingerprint matching method is proposed in this paper, with which two fingerprint skeleton images are matched directly. In this method, an associate table is introduced to describe the relation of a ridge with its neighbor ridges, so the whole ridge pattern can be easily handed. In addition, two unique similarity measures, one for ridge curves, another for ridge patterns, are defined with the elastic distortion taken into account. Experiment results on several databases demonstrate the effectiveness and robustness of the proposed method.

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Fingerprint identification using graph matching

Cited by 147 publications

References 7 publications

Keystroke dynamics as a biometric for authentication

Keystroke dynamics as a biometric for authentication

Minutiae-based Triangular Acreage Fingerprint Match Method

Ridge-Based Fingerprint Recognition

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