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INSTRUCTIONS FOR DOWNLOADING
ATVS-FIr DB
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Download license agreement,
send by email one signed and scanned copy to atvs uam.es.
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Send an email to atvsuam.es, as follows:
Subject:
[DATABASE download: ATVS-FIr DB]
Body: Your name, e-mail, telephone
number, organization, postal mail, purpose for which you will use
the database, time and date at which you sent the email with the
signed license agreement.
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Once the email copy of the license
agreement has been received at ATVS, you will get an email with a
username, a password, and a time slot to download the database.
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Download the database, for which you will need to provide the
authentication information given in step 4. After you finish the
download, please notify by email to atvsuam.es that you have
successfully completed the transaction.
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For more information, please contact: atvsuam.es
DESCRIPTION OF ATVS-FIr DB
One dataset of real and fake iris images in .bmp format:
The real samples are taken from 50 random users of the Biosec Baseline Iris Subcorpus [PR2007].
It contains iris samples of both eyes of 50 subjects (50 × 2 = 100 different irises).
Four samples of each iris were captured in 2 acquisition sessions with the LG Iris Access EOU3000.
This way the dataset comprises:
100 irises × 4 samples × 2 sensors = 800 real image samples.
The fake samples were also acquired with the LG Iris Access EOU3000 from high quality printed images of the original samples according to the process described in [BIOID2008].
The structure is the same as the one of the real samples, thus, the dataset comprises:
100 irises × 4 samples × 2 sensors = 800 fake image samples.
The nomenclautre followed in both datasets to name the image files is as follows: uXXXX_sYYYY_ir_A_ZZZZ
XXXX: is the number of the user [0001 0002 0003 ... 0050] YYYY: is the number of the session [0001 0002] A: it can take the values "r" or "l", for "right" or "left" eye ZZZZ: is the number of the sample [0001 0002 0003 0004]
REFERENCES
For further information on the database and on different applications where it
has been used, including vulnerability assessment of iris verification systems to direct attacks, and
performance evaluation of iris liveness detection methods, we refer the reader to (all these articles
are publicly available at http://atvs.ii.uam.es/listpublications.do):
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[PR2007] J. Fierrez, J. Ortega-Garcia, D. Torre-Toledano and J. Gonzalez-Rodriguez,
"BioSec baseline corpus: A multimodal biometric database", Pattern Recognition, Vol. 40, n. 4, pp. 1389-1392, April 2007.
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[ICB2012] J. Galbally, J. Ortiz-Lopez, J. Fierrez and J. Ortega-Garcia,
"Iris liveness detection based on quality related features", in Proc. Intl. Conf. on Biometrics, ICB, pp. 271-276, New Delhi, India, March 2012.
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[ITIP2014] J. Galbally, S. Marcel and J. Fierrez,
"Image Quality Assessment for Fake Biometric Detection: Application to Iris, Fingerprint and Face Recognition",
in IEEE Trans. on Image Processing, Vol. 23, n. 2, pp. 710-724, February 2014.
Please remember to reference articles [PR2007] and [ICB2007] on any work made public, whatever the form, based directly or indirectly on any part of the ATVS-FIr DB.
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