Fingerprint verification using direction images and local features

Edward K. Wong; Yao Wang; Syng Yup Ohn

doi:10.1117/12.806391

Fingerprint verification using direction images and local features

Edward K. Wong, Yao Wang, Syng Yup Ohn

Electrical and Computer Engineering

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

Abstract

In this paper, we present a novel method for fingerprint verification. A unique characteristic of our method is the use of direction images and local features in the matching process. A direction center is computed from the direction image and used as a reference point for aligning fingerprints. Fingerprint matching is performed in two stages. In the first stage, we compute the correlation between the direction images of the two fingerprints. In the second stage, we compare various features derived from fingerprint minutiae. The first stage acts as a filtering procedure that rejects fingerprints based on the global directional patterns of the ridges. The second stage verifies the local characteristics of the fingerprint minutiae. The two-stage matching process results in a robust procedure that minimizes verification errors.

Original language	English (US)
Article number	725109
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	7251
DOIs	https://doi.org/10.1117/12.806391
State	Published - 2009
Event	Image Processing: Machine Vision Applications II - San Jose, CA, United States Duration: Jan 20 2009 → Jan 22 2009

Keywords

Biometrics
Direction images
Fingerprint minutiae
Fingerprint verification
Ridge detection

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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10.1117/12.806391

Cite this

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title = "Fingerprint verification using direction images and local features",

abstract = "In this paper, we present a novel method for fingerprint verification. A unique characteristic of our method is the use of direction images and local features in the matching process. A direction center is computed from the direction image and used as a reference point for aligning fingerprints. Fingerprint matching is performed in two stages. In the first stage, we compute the correlation between the direction images of the two fingerprints. In the second stage, we compare various features derived from fingerprint minutiae. The first stage acts as a filtering procedure that rejects fingerprints based on the global directional patterns of the ridges. The second stage verifies the local characteristics of the fingerprint minutiae. The two-stage matching process results in a robust procedure that minimizes verification errors.",

keywords = "Biometrics, Direction images, Fingerprint minutiae, Fingerprint verification, Ridge detection",

author = "Wong, {Edward K.} and Yao Wang and Ohn, {Syng Yup}",

year = "2009",

doi = "10.1117/12.806391",

language = "English (US)",

volume = "7251",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

issn = "0277-786X",

publisher = "SPIE",

note = "Image Processing: Machine Vision Applications II ; Conference date: 20-01-2009 Through 22-01-2009",

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TY - JOUR

T1 - Fingerprint verification using direction images and local features

AU - Wong, Edward K.

AU - Wang, Yao

AU - Ohn, Syng Yup

PY - 2009

Y1 - 2009

N2 - In this paper, we present a novel method for fingerprint verification. A unique characteristic of our method is the use of direction images and local features in the matching process. A direction center is computed from the direction image and used as a reference point for aligning fingerprints. Fingerprint matching is performed in two stages. In the first stage, we compute the correlation between the direction images of the two fingerprints. In the second stage, we compare various features derived from fingerprint minutiae. The first stage acts as a filtering procedure that rejects fingerprints based on the global directional patterns of the ridges. The second stage verifies the local characteristics of the fingerprint minutiae. The two-stage matching process results in a robust procedure that minimizes verification errors.

AB - In this paper, we present a novel method for fingerprint verification. A unique characteristic of our method is the use of direction images and local features in the matching process. A direction center is computed from the direction image and used as a reference point for aligning fingerprints. Fingerprint matching is performed in two stages. In the first stage, we compute the correlation between the direction images of the two fingerprints. In the second stage, we compare various features derived from fingerprint minutiae. The first stage acts as a filtering procedure that rejects fingerprints based on the global directional patterns of the ridges. The second stage verifies the local characteristics of the fingerprint minutiae. The two-stage matching process results in a robust procedure that minimizes verification errors.

KW - Biometrics

KW - Direction images

KW - Fingerprint minutiae

KW - Fingerprint verification

KW - Ridge detection

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DO - 10.1117/12.806391

M3 - Conference article

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SN - 0277-786X

VL - 7251

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

M1 - 725109

T2 - Image Processing: Machine Vision Applications II

Y2 - 20 January 2009 through 22 January 2009

ER -

Fingerprint verification using direction images and local features

Abstract

Keywords

ASJC Scopus subject areas

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