The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Kertas kerja ini mencadangkan algoritma pengecaman cap jari yang cekap menggabungkan padanan imej berasaskan fasa dan padanan berasaskan ciri. Dalam kerja kami sebelum ini, kami telah mencadangkan algoritma pengecaman cap jari yang cekap menggunakan Korelasi Fasa Sahaja (POC) dan membangunkan unit pengesahan cap jari komersial untuk aplikasi kawalan akses. Penggunaan maklumat fasa Fourier bagi imej cap jari memungkinkan untuk mencapai pengiktirafan yang mantap untuk imej cap jari berkualiti rendah yang terkesan lemah. Kertas kerja ini membentangkan idea untuk meningkatkan prestasi padanan cap jari berasaskan POC dengan menggabungkannya dengan padanan berasaskan ciri, di mana padanan berasaskan ciri diperkenalkan untuk meningkatkan kecekapan pengecaman untuk imej dengan herotan tak linear. Penilaian eksperimen menggunakan dua jenis pangkalan data imej cap jari yang berbeza menunjukkan prestasi pengecaman yang cekap bagi gabungan algoritma berasaskan POC dan algoritma berasaskan ciri.
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Salinan
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
Salinan
@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},}
Salinan
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 -