Departamento de Informática da Universidade da Beira Interior

 

 

 

 

 

 

 

 

 

 

 

 

 

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 UBIRIS.v1

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Contact:

SOCIA Lab. – Soft Computing and Image Analysis Group 

Department of Computer Science, University of Beira Interior, 6201-001 Covilhã, Portugal

hugomcp@di.ubi.pt

lfbaa@di.ubi.pt

 

http://www2.clustrmaps.com/stats/maps-no_clusters/iris.di.ubi.pt-thumb.jpg
Contador de Visitas 

 

 

UBIRIS.v1

 

UBIRIS.v1 database is composed of 1877 images collected from 241 persons during September, 2004 in two distinct sessions. Its most relevant characteristic is to incorporate images with several noise factors, simulating less constrained image acquisition environments. This enables the evaluation of the robustness of iris recognition methods.

For the first image capture session, the enrollment one, we tried to minimize noise factors, specially those relative to reflections, luminosity and contrast, having installed image capture framework inside a dark room.

In the second session we changed the capture place in order to introduce natural luminosity factor. This propitiates the appearance of heterogeneous images with respect to reflections, contrast, luminosity and focus problems. Images collected at this stage simulate the ones captured by a vision system without or with minimal active participation from the subjects, adding several noise problems. These images will be on the recognition stage compared to the ones collected during first session.

 

Hardware Framework and Set-Up

 

·         Camera Model Nikon E5700, Software E5700v1.0

·         Color Representation RGB            

·         Focal Length 71 mm

·         Exposure Time 1/30 sec.                

·         ISO Speed ISO-200

·         Image Width 2560 pixels, Height 1704 pixels

·         Horizontal Resolution 300 dpi       

·         Vertical Resolution 300 dpi

·         Bit Depth 24                                         

·         Format JPEG

 

Manual Image Classification

 

All images from both sessions were classified with respect to three parameters (‘Focus’,‘Reflections ’and ‘Visible Iris ’) in a three values scale (‘Good’, ‘Average’and ‘Bad ’). The classification statistics are detailed in the following table and allow another evaluation factor: robustness to noisy signals and respective fault-tolerant behavior.

 

Parameter            

Good

Average                  

Bad

Focus                      

73.83%                    

17.53%                    

8.63%

Reflections           

58.87%                    

36.78%                    

4.34%

Visible Iris

36.73%                    

47.83%                    

15.44%

 

Download

 

Note: UBIRIS.v1 database can be downloaded in “Zip” format. This file is password protected. To obtain the password it is necessary to send an email message to one of the authors with the following format:

“Subject”: UBIRIS password

“Body”:

                 Name:

                 Institution:

                 Country:

 

Authorization  to publish (or not) this information on UBIRIS web site.

 

Database                                

Format

[DOWNLOAD]            

800 x 600 - 24 bit color (436 MB)

[DOWNLOAD]            

200 x 150 - 24 bit color (96 MB)

[DOWNLOAD]            

200 x 150 - Grayscale (65 MB)

 

Authors

 

Hugo Pedro Proença and Luís A. Alexandre

Please use the following reference when using UBIRIS:

@inproceedings{pro05a

,author = "Proença,H. and Alexandre, {L.A.}"

,title = "{UBIRIS}: A noisy iris image database"

,booktitle = "13th International Conference on Image Analysis and Processing - ICIAP 2005"

,publisher = "Springer"

,volume = "LNCS 3617"

,pages = "970-977"

,address = "Cagliari, Italy"

,month = "September"

,year = 2005

}

 

 

 

 

 

 

 

 

 

 

 

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