香港理工大学的多光谱掌纹数据库_图像处理_科研数据集

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香港理工大学的多光谱掌纹数据库(The Hong Kong Polytechnic University (PolyU) Multispectral Palmprint Database )_图像处理_科研数据集,数据源介绍,下载文档后,点击文档最后的链接即可进入下载界面。

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). “Blue.rar”, "Green.rar", "Red.rar" and "NIR.rar" 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 Database.rar”.

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/j.patrec.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, p.polyu.edu.hk/~biometrics/MultispectralPalmprint/MSP.htm” 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@comp.polyu.edu.hk

Downloading Steps:

Download ZIP to your local disk. Then, fill in the application forms. Send the application form to cslzhang@comp.polyu.edu.hk. The successful applicants will receive the passwords for unzipping the files downloaded.

Multispectral Palmprint Database: MSpalmprint Database.zip ROI Database.zip 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@comp.polyu.edu.hk

数据预览：

点此下载完整数据集

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