IEICE TRANSACTIONS on Fundamentals
Score-Level Fusion of Phase-Based and Feature-Based Fingerprint Matching Algorithms
Summary :
This paper proposes an efficient fingerprint recognition algorithm combining phase-based image matching and feature-based matching. In our previous work, we have already proposed an efficient fingerprint recognition algorithm using Phase-Only Correlation (POC), and developed commercial fingerprint verification units for access control applications. The use of Fourier phase information of fingerprint images makes it possible to achieve robust recognition for weakly impressed, low-quality fingerprint images. This paper presents an idea of improving the performance of POC-based fingerprint matching by combining it with feature-based matching, where feature-based matching is introduced in order to improve recognition efficiency for images with nonlinear distortion. Experimental evaluation using two different types of fingerprint image databases demonstrates efficient recognition performance of the combination of the POC-based algorithm and the feature-based algorithm.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E93-A No.3 pp.607-616
- Publication Date
- 2010/03/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E93.A.607
- Type of Manuscript
- PAPER
- Category
- Image
Authors
Keyword
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Koichi ITO, Ayumi MORITA, Takafumi AOKI, Hiroshi NAKAJIMA, Koji KOBAYASHI, Tatsuo HIGUCHI, "Score-Level Fusion of Phase-Based and Feature-Based Fingerprint Matching Algorithms" in IEICE TRANSACTIONS on Fundamentals,
vol. E93-A, no. 3, pp. 607-616, March 2010, doi: 10.1587/transfun.E93.A.607.
Abstract: This paper proposes an efficient fingerprint recognition algorithm combining phase-based image matching and feature-based matching. In our previous work, we have already proposed an efficient fingerprint recognition algorithm using Phase-Only Correlation (POC), and developed commercial fingerprint verification units for access control applications. The use of Fourier phase information of fingerprint images makes it possible to achieve robust recognition for weakly impressed, low-quality fingerprint images. This paper presents an idea of improving the performance of POC-based fingerprint matching by combining it with feature-based matching, where feature-based matching is introduced in order to improve recognition efficiency for images with nonlinear distortion. Experimental evaluation using two different types of fingerprint image databases demonstrates efficient recognition performance of the combination of the POC-based algorithm and the feature-based algorithm.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E93.A.607/_p
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@ARTICLE{e93-a_3_607,
author={Koichi ITO, Ayumi MORITA, Takafumi AOKI, Hiroshi NAKAJIMA, Koji KOBAYASHI, Tatsuo HIGUCHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Score-Level Fusion of Phase-Based and Feature-Based Fingerprint Matching Algorithms},
year={2010},
volume={E93-A},
number={3},
pages={607-616},
abstract={This paper proposes an efficient fingerprint recognition algorithm combining phase-based image matching and feature-based matching. In our previous work, we have already proposed an efficient fingerprint recognition algorithm using Phase-Only Correlation (POC), and developed commercial fingerprint verification units for access control applications. The use of Fourier phase information of fingerprint images makes it possible to achieve robust recognition for weakly impressed, low-quality fingerprint images. This paper presents an idea of improving the performance of POC-based fingerprint matching by combining it with feature-based matching, where feature-based matching is introduced in order to improve recognition efficiency for images with nonlinear distortion. Experimental evaluation using two different types of fingerprint image databases demonstrates efficient recognition performance of the combination of the POC-based algorithm and the feature-based algorithm.},
keywords={},
doi={10.1587/transfun.E93.A.607},
ISSN={1745-1337},
month={March},}
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TY - JOUR
TI - Score-Level Fusion of Phase-Based and Feature-Based Fingerprint Matching Algorithms
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 607
EP - 616
AU - Koichi ITO
AU - Ayumi MORITA
AU - Takafumi AOKI
AU - Hiroshi NAKAJIMA
AU - Koji KOBAYASHI
AU - Tatsuo HIGUCHI
PY - 2010
DO - 10.1587/transfun.E93.A.607
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E93-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2010
AB - This paper proposes an efficient fingerprint recognition algorithm combining phase-based image matching and feature-based matching. In our previous work, we have already proposed an efficient fingerprint recognition algorithm using Phase-Only Correlation (POC), and developed commercial fingerprint verification units for access control applications. The use of Fourier phase information of fingerprint images makes it possible to achieve robust recognition for weakly impressed, low-quality fingerprint images. This paper presents an idea of improving the performance of POC-based fingerprint matching by combining it with feature-based matching, where feature-based matching is introduced in order to improve recognition efficiency for images with nonlinear distortion. Experimental evaluation using two different types of fingerprint image databases demonstrates efficient recognition performance of the combination of the POC-based algorithm and the feature-based algorithm.
ER -
English
