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2024年4月12日发(作者：易语言yolo教程论坛)
香港理工大学的多光谱掌纹数据库(The Hong Kong
Polytechnic University (PolyU) Multispectral
Palmprint Database )
数据介绍：
Palmprint is a unique and reliable biometric characteristic with high
usability. With the increasing demand of highly accurate and robust
palmprint authentication system, multispectral imaging has been
employed to acquire more discriminative information and increase the
antispoof capability of palmprint.
The Biometric Research Centre (UGC/CRC) at The Hong Kong
Polytechnic University has developed a real time multispectral palmprint
capture device which can capture palmprint images under blue, green, red
and near-infrared (NIR) illuminations, and has used it to construct a
large-scale multispectral palmprint database. To advance research and to
provide researchers working in the area of multispectral recognition with
a platform to compare the effectiveness of various multispectral
palmprint recognition algorithms, we intend to publish our multispectral
palmprint database, making it freely available for academic,
noncommercial uses.
关键词：
香港理工大学,多光谱,掌纹,UGC/CRC,图像,
PolyU,Multispectral,Palmprint,UGC/CRC,image,
数据格式：
IMAGE
数据详细介绍：
The Hong Kong Polytechnic University (PolyU)
Multispectral Palmprint Database
Overview:
Palmprint is a unique and reliable biometric characteristic with high usability.
With the increasing demand of highly accurate and robust palmprint
authentication system, multispectral imaging has been employed to acquire
more discriminative information and increase the antispoof capability of
palmprint.
The Biometric Research Centre (UGC/CRC) at The Hong Kong Polytechnic
University has developed a real time multispectral palmprint capture device
which can capture palmprint images under blue, green, red and near-infrared
(NIR) illuminations, and has used it to construct a large-scale multispectral
palmprint database. To advance research and to provide researchers working
in the area of multispectral recognition with a platform to compare the
effectiveness of various multispectral palmprint recognition algorithms, we
intend to publish our multispectral palmprint database, making it freely
available for academic, noncommercial uses.
The outlook of the multispectral palmprint image acquisition device.
Description of the PolyU multispectral palmprint Database:
Multispectral palmprint images were collected from 250 volunteers, including
195 males and 55 females. The age distribution is from 20 to 60 years old. We
collected samples in two separate sessions. In each session, the subject was
asked to provide 6 images for each palm. Therefore, 24 images of each
illumination from 2 palms were collected from each subject. In total, the
database contains 6,000 images from 500 different palms for one illumination.
The average time interval between the first and the second sessions was
about 9 days.
Each folder is named as “nnnn”. “nnnn” represents the identity of the person
(range from 1 to 500). In each folder, the first 6 images (1_mm) were captured
in the first session and the latter 6 images (2_mm) were captured in the second
session, "mm" represents the image index for give session (range from 1 to 6).
“”, "", "" and "" contains all the original
palmprint images collected with our device by blue, green, red and NIR
illumination. We also provide the extracted ROI images using our ROI
extraction algorithm described in [1]. ROI images are contained in “ROI
”.
Related Publication:
1. David Zhang, Zhenhua Guo, Guangming Lu, Lei Zhang, and Wangmeng
Zuo, "An Online System of Multi-spectral Palmprint Verification", IEEE
Transactions on Instrumentation and Measurement, vol. 59, no. 2, pp.
480-490, 2010.
2. Dong Han, Zhenhua Guo, and David Zhang, "Multispectral Palmprint
Recognition using wavelet-based Image Fusion", International
Conference on Signal Processing, pp. 2074-2077, 2008.
3. David Zhang, Wai-kin Kong, Jane You and Michael Wong, "On-line
palmprint identification", IEEE Transactions on Pattern Analysis and
Machine Intelligence, vol. 25, no. 9, pp. 1041-1050, 2003.
4. Zhenhua Guo, David Zhang, Lei Zhang, Wangmeng Zuo, Guangming Lu
“Empirical Study of Light Source Selection for Palmprint Recognition”,
Pattern Recognition Letters (2010), doi: 10.1016/.2010.09.026
The Announcement of the Copyright
All rights of the PolyU multispectral palmprint Database are reserved. The
database is only available for research and noncommercial purposes.
Commercial distribution or any act related to commercial use of this database
is strictly prohibited. A clear acknowledgement should be made for any public
work based on the PolyU multispectral palmprint Database. A citation to
"PolyU multispectral palmprint Database,
/~biometrics/MultispectralPalmprint/”
and our related works must be added in the references. A soft copy of any
released or public documents that use the PolyU multispectral palmprint
Database must be forwarded to: cslzhang@
Downloading Steps:
Download ZIP to your local disk. Then, fill in the application forms. Send the
application form to cslzhang@. The successful applicants
will receive the passwords for unzipping the files downloaded.
Multispectral Palmprint Database:
MSpalmprint ROI
Application Form
Contact Information:
Lei ZHANG, Associate Professor
Biometric Research Centre (UGC/CRC)
The Hong Kong Polytechnic University
Hung Hom, Kowloon, Hong Kong
E-mail: cslzhang@
数据预览：
点此下载完整数据集
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