Feature-Level Fusion of Finger Veins and Finger Dorsal Texture for Personal Authentication Based on Orientation Selection
Summary :
This study proposes a feature-level fusion method that uses finger veins (FVs) and finger dorsal texture (FDT) for personal authentication based on orientation selection (OS). The orientation codes obtained by the filters correspond to different parts of an image (foreground or background) and thus different orientations offer different levels of discrimination performance. We have conducted an orientation component analysis on both FVs and FDT. Based on the analysis, an OS scheme is devised which combines the discriminative orientation features of both modalities. Our experiments demonstrate the effectiveness of the proposed method.
- Publication
- IEICE TRANSACTIONS on Information Vol.E97-D No.5 pp.1371-1373
- Publication Date
- 2014/05/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E97.D.1371
- Type of Manuscript
- LETTER
- Category
- Pattern Recognition
Authors
Wenming YANG
Tsinghua University
Guoli MA
Tsinghua University
Fei ZHOU
Tsinghua University
Qingmin LIAO
Tsinghua University
Keyword
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Wenming YANG, Guoli MA, Fei ZHOU, Qingmin LIAO, "Feature-Level Fusion of Finger Veins and Finger Dorsal Texture for Personal Authentication Based on Orientation Selection" in IEICE TRANSACTIONS on Information,
vol. E97-D, no. 5, pp. 1371-1373, May 2014, doi: 10.1587/transinf.E97.D.1371.
Abstract: This study proposes a feature-level fusion method that uses finger veins (FVs) and finger dorsal texture (FDT) for personal authentication based on orientation selection (OS). The orientation codes obtained by the filters correspond to different parts of an image (foreground or background) and thus different orientations offer different levels of discrimination performance. We have conducted an orientation component analysis on both FVs and FDT. Based on the analysis, an OS scheme is devised which combines the discriminative orientation features of both modalities. Our experiments demonstrate the effectiveness of the proposed method.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E97.D.1371/_p
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@ARTICLE{e97-d_5_1371,
author={Wenming YANG, Guoli MA, Fei ZHOU, Qingmin LIAO, },
journal={IEICE TRANSACTIONS on Information},
title={Feature-Level Fusion of Finger Veins and Finger Dorsal Texture for Personal Authentication Based on Orientation Selection},
year={2014},
volume={E97-D},
number={5},
pages={1371-1373},
abstract={This study proposes a feature-level fusion method that uses finger veins (FVs) and finger dorsal texture (FDT) for personal authentication based on orientation selection (OS). The orientation codes obtained by the filters correspond to different parts of an image (foreground or background) and thus different orientations offer different levels of discrimination performance. We have conducted an orientation component analysis on both FVs and FDT. Based on the analysis, an OS scheme is devised which combines the discriminative orientation features of both modalities. Our experiments demonstrate the effectiveness of the proposed method.},
keywords={},
doi={10.1587/transinf.E97.D.1371},
ISSN={1745-1361},
month={May},}
Copy
TY - JOUR
TI - Feature-Level Fusion of Finger Veins and Finger Dorsal Texture for Personal Authentication Based on Orientation Selection
T2 - IEICE TRANSACTIONS on Information
SP - 1371
EP - 1373
AU - Wenming YANG
AU - Guoli MA
AU - Fei ZHOU
AU - Qingmin LIAO
PY - 2014
DO - 10.1587/transinf.E97.D.1371
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E97-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2014
AB - This study proposes a feature-level fusion method that uses finger veins (FVs) and finger dorsal texture (FDT) for personal authentication based on orientation selection (OS). The orientation codes obtained by the filters correspond to different parts of an image (foreground or background) and thus different orientations offer different levels of discrimination performance. We have conducted an orientation component analysis on both FVs and FDT. Based on the analysis, an OS scheme is devised which combines the discriminative orientation features of both modalities. Our experiments demonstrate the effectiveness of the proposed method.
ER -
English
