IEICE TRANSACTIONS on Information
Robust Hybrid Finger Pattern Identification Using Intersection Enhanced Gabor Based Direction Coding
Summary :
Automated biometrics identification using finger vein images has increasingly generated interest among researchers with emerging applications in human biometrics. The traditional feature-level fusion strategy is limited and expensive. To solve the problem, this paper investigates the possible use of infrared hybrid finger patterns on the back side of a finger, which includes both the information of finger vein and finger dorsal textures in original image, and a database using the proposed hybrid pattern is established. Accordingly, an Intersection enhanced Gabor based Direction Coding (IGDC) method is proposed. The Experiment achieves a recognition ratio of 98.4127% and an equal error rate of 0.00819 on our newly established database, which is fairly competitive.
- Publication
- IEICE TRANSACTIONS on Information Vol.E99-D No.10 pp.2668-2671
- Publication Date
- 2016/10/01
- Publicized
- 2016/07/06
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2016EDL8074
- Type of Manuscript
- LETTER
- Category
- Image Recognition, Computer Vision
Authors
Wenming YANG
Tsinghua University
Wenyang JI
Tsinghua University
Fei ZHOU
Tsinghua University
Qingmin LIAO
Tsinghua University
Keyword
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Wenming YANG, Wenyang JI, Fei ZHOU, Qingmin LIAO, "Robust Hybrid Finger Pattern Identification Using Intersection Enhanced Gabor Based Direction Coding" in IEICE TRANSACTIONS on Information,
vol. E99-D, no. 10, pp. 2668-2671, October 2016, doi: 10.1587/transinf.2016EDL8074.
Abstract: Automated biometrics identification using finger vein images has increasingly generated interest among researchers with emerging applications in human biometrics. The traditional feature-level fusion strategy is limited and expensive. To solve the problem, this paper investigates the possible use of infrared hybrid finger patterns on the back side of a finger, which includes both the information of finger vein and finger dorsal textures in original image, and a database using the proposed hybrid pattern is established. Accordingly, an Intersection enhanced Gabor based Direction Coding (IGDC) method is proposed. The Experiment achieves a recognition ratio of 98.4127% and an equal error rate of 0.00819 on our newly established database, which is fairly competitive.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2016EDL8074/_p
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@ARTICLE{e99-d_10_2668,
author={Wenming YANG, Wenyang JI, Fei ZHOU, Qingmin LIAO, },
journal={IEICE TRANSACTIONS on Information},
title={Robust Hybrid Finger Pattern Identification Using Intersection Enhanced Gabor Based Direction Coding},
year={2016},
volume={E99-D},
number={10},
pages={2668-2671},
abstract={Automated biometrics identification using finger vein images has increasingly generated interest among researchers with emerging applications in human biometrics. The traditional feature-level fusion strategy is limited and expensive. To solve the problem, this paper investigates the possible use of infrared hybrid finger patterns on the back side of a finger, which includes both the information of finger vein and finger dorsal textures in original image, and a database using the proposed hybrid pattern is established. Accordingly, an Intersection enhanced Gabor based Direction Coding (IGDC) method is proposed. The Experiment achieves a recognition ratio of 98.4127% and an equal error rate of 0.00819 on our newly established database, which is fairly competitive.},
keywords={},
doi={10.1587/transinf.2016EDL8074},
ISSN={1745-1361},
month={October},}
Copy
TY - JOUR
TI - Robust Hybrid Finger Pattern Identification Using Intersection Enhanced Gabor Based Direction Coding
T2 - IEICE TRANSACTIONS on Information
SP - 2668
EP - 2671
AU - Wenming YANG
AU - Wenyang JI
AU - Fei ZHOU
AU - Qingmin LIAO
PY - 2016
DO - 10.1587/transinf.2016EDL8074
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E99-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 2016
AB - Automated biometrics identification using finger vein images has increasingly generated interest among researchers with emerging applications in human biometrics. The traditional feature-level fusion strategy is limited and expensive. To solve the problem, this paper investigates the possible use of infrared hybrid finger patterns on the back side of a finger, which includes both the information of finger vein and finger dorsal textures in original image, and a database using the proposed hybrid pattern is established. Accordingly, an Intersection enhanced Gabor based Direction Coding (IGDC) method is proposed. The Experiment achieves a recognition ratio of 98.4127% and an equal error rate of 0.00819 on our newly established database, which is fairly competitive.
ER -
English
