Fingerprint feature matching using CNNS

Qun Gao; George S. Moschytz

Fingerprint feature matching using CNNS

Qun Gao
, George S. Moschytz

Swiss Federal Laboratories for Materials Science and Technology (Empa)
Swiss Federal Institute of Technology Zurich

Research output: Contribution to journal › Conference article › peer-review

9 Scopus citations

Abstract

Feature Matching is the last, deciding stage in a fingerprint-based verification system. In this paper, a Fingerprint Feature-Matching algorithm which is tailor-made for CNNs is presented. Together with the previously developed CNN Image-Preprocessing and Feature-Extraction algorithms, it realizes a CNN-based fingerprint verification system. The effectiveness of the proposed algorithm, more precisely, the performance of the entire system is evaluated by using a real fingerprint database.

Original language	English
Pages (from-to)	III73-III76
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	3
State	Published - 2004
Externally published	Yes
Event	2004 IEEE International Symposium on Cirquits and Systems - Proceedings - Vancouver, BC, Canada Duration: 23 May 2004 → 26 May 2004

Cite this

@article{82503c85940b45449bde9aae7000e5df,

title = "Fingerprint feature matching using CNNS",

abstract = "Feature Matching is the last, deciding stage in a fingerprint-based verification system. In this paper, a Fingerprint Feature-Matching algorithm which is tailor-made for CNNs is presented. Together with the previously developed CNN Image-Preprocessing and Feature-Extraction algorithms, it realizes a CNN-based fingerprint verification system. The effectiveness of the proposed algorithm, more precisely, the performance of the entire system is evaluated by using a real fingerprint database.",

author = "Qun Gao and Moschytz, \{George S.\}",

year = "2004",

language = "אנגלית",

volume = "3",

pages = "III73--III76",

journal = "Proceedings - IEEE International Symposium on Circuits and Systems",

issn = "0271-4310",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2004 IEEE International Symposium on Cirquits and Systems - Proceedings ; Conference date: 23-05-2004 Through 26-05-2004",

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T1 - Fingerprint feature matching using CNNS

AU - Gao, Qun

AU - Moschytz, George S.

PY - 2004

Y1 - 2004

N2 - Feature Matching is the last, deciding stage in a fingerprint-based verification system. In this paper, a Fingerprint Feature-Matching algorithm which is tailor-made for CNNs is presented. Together with the previously developed CNN Image-Preprocessing and Feature-Extraction algorithms, it realizes a CNN-based fingerprint verification system. The effectiveness of the proposed algorithm, more precisely, the performance of the entire system is evaluated by using a real fingerprint database.

AB - Feature Matching is the last, deciding stage in a fingerprint-based verification system. In this paper, a Fingerprint Feature-Matching algorithm which is tailor-made for CNNs is presented. Together with the previously developed CNN Image-Preprocessing and Feature-Extraction algorithms, it realizes a CNN-based fingerprint verification system. The effectiveness of the proposed algorithm, more precisely, the performance of the entire system is evaluated by using a real fingerprint database.

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AN - SCOPUS:4344659325

SN - 0271-4310

VL - 3

SP - III73-III76

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

T2 - 2004 IEEE International Symposium on Cirquits and Systems - Proceedings

Y2 - 23 May 2004 through 26 May 2004

ER -

Fingerprint feature matching using CNNS

Abstract

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