PDF File : Tel-U Palm-Print Data-Set V1.0
1. Introduction
Palm print is one kind of biometrics feature or trait[1], which had been investigated and can provide the promising result[2][3]. Palm print has more advantages such as have stable structure features, low cost and high user acceptance[2][3]. Here, we release Tel-U Palm-Print Data-Set V1.0, a palm print database which can be used widely for biometrics research. The images are captured by camera digital and tool/environment which has been designed
for data acquisition.
2. Description of Database
Full version of Tel-U Palm-Print Data-set V1.0 contain 2,301 palm print images (right hand) which are captured from 154 different people. We design a tool or environment for data acquisition (see figure 1 and figure 2), where the all of parts inside of box is covered by black paper, the objective is to distinguish hand region and background, so, the hand segmentation process can be more easier. The lightening source is used from camera digital which we used itself. due to selection process for proper database, then the number of sample for each person are not same. People number 1 until 149 consist 15 images, number 150 – 153 consist 14 images, and lastly number 154 only consist 10 images.
Figure 1. Acquisition Schema
Figure 2. Illustration of palm-print acquisition process
3. Camera and Format Files
There are two kind of cameras which were used for data acquisition:
a. Sony DSC-W510 12.1 Megapixel (see http://www.sony.co.uk/support/en/product/dsc-w510)
b. Canon Powershot A1200 12.1 Megapixel (see http://www.canon-europe.com/for_home/product_finder/cameras/digital_camera/powershot/powershot_a1200/)
The images were stored into JPEG format, where file name is AAA G Y XX.JPG
AAA: the unique identifier of people
G: gender (f is female and m is male)
Y: type of camera (c is Canon and s is Sony)
XX: index or number of samples for each individual
JPG: JPG/JPEG is format of files.
Sample Image
Figure 3. Example of palm print images from our database
4. Copyright Note and Contact
Tel-U Palm-Print Data-set V1.0 is part of research by by the School of Computing, Telkom University (url http://telkomuniversity.ac.id/) and published only for eduction and research purpose. We don’t hold responsibility for any unintended consequences for using of the data-set. The Share Version of this data-set can be download here < Shared_ROI_Palm Shared_Full_Palm>. It include 100 people with 6 palm image for each person.
Any person or organization are not permitted to distribute, publish, or copy this databases without our approval. All rights Tel-U Palm-Print Data-set V1.0 is reserved. References to http://cokagung.staff.telkomuniversity.ac.id/tel-u-palmprint-database-v1-0/should be included for all reports and papers which uses this database, and it should be forwarded to:
Tjokorda Agung Budi W., ST.,MT.
email: [email protected]
Biometrics Research Center Laboratory, School of Computing. Telkom University
Telekomunikasi No.1, Bandung, West Java, P.O.Box 40257, Indonesia
or send electronic copies to [email protected] or [email protected] . Questions regarding this database can be addressed to Prasti Eko Y. at
Prasti Eko Yunanto ST.
email: [email protected]
Biometrics Research Center Laboratory School of Computing, Telkom University
Telekomunikasi No.1, Bandung, West Java, P.O.Box 40257, Indonesia
Please contact us for full version of Tel-U Palm-Print Data-Set V1.0
5.Reference
[1] A. K. Jain, P. Flynn, and A. A. Ross, Handbook of Biometrics. Secaucus, NJ, USA:Springer-Verlag New York, Inc., 2007.
[2] A. Kong, D. Zhang, and M. Kamel, \A survey of palmprint recognition,” PatternRecogn., vol. 42, pp. 1408 {1418, July 2009.
[3] G. Lu, D. Zhang, and K. Wang, \Palmprint recognition using eigenpalms features,”Pattern Recogn. Lett., vol. 24, pp. 1463{1467, June 2003.
[4] G. K. Ong Michael, T. Connie, and A. B. Jin Teoh, \Review article: Touch-less palm print biometrics: Novel design and implementation,” Image Vision Comput., vol. 26,pp. 1551{1560, Dec. 2008.
6. Publication List
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