Departamento de Informática da Universidade da Beira Interior








 Important Dates



 Registered Participants









SOCIA Lab. – Soft Computing and Image Analysis Group 

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



NICE.I Protocol


1.    Overview. In order to participate in the NICE.I contest, an application executable and a registration form should be submitted. The executable should receive the path of a close-up iris image (through command-line arguments) and perform its segmentation, distinguishing between the regions of the iris unobstructed by any type of noise and all the remaining ones.


1.1. The application executable can be written in any programming language and must run in standalone mode, in one of the operating systems:”Windows XP, Service Pack 2” or ”Fedora Core 6”.


1.2. There will be no internet access during the NICE.I evaluation. Thus, the application executable will need to be installed and executed without access to the internet.


1.3. An overview of the task demanded to the NICE.I participants is given in figure 1. Receiving the pathname of a close-up and noisy iris image (in “.tiff” format), the executable should produce a correspondent binary image (with the same name, size and in “.bmp” format), where the pixels that correspond to the noise-free regions of the iris appear as black (intensity=0) and all the remaining ones appear as white (intensity=255).

Figure 1: NICE.I fundamental task.

2.    Registration. Each NICE.I participant will receive a username. This username will be used as the name of the submitted executable.


2.1. Each participant is allowed to submit one single algorithm and executable.


2.2. NICE.I participation agreement. The application form must be signed by the corresponding participant and sent to the contest email address.


3.    Evaluation. The NICE.I contest will be evaluated trough a Java framework built within the SOCIA Lab and within the UBIRIS.v2 data set.


3.1. The evaluation framework will be available to NICE.I participants, in order to facilitate the training and tuning of the iris segmentation algorithms.


3.2. Together with the evaluation framework, a data set of noisy iris images (portion of the UBIRIS.v2 database) will be given, with have close characteristics to the images used in the evaluation stage. Additionally, the set of the correspondent and manually classified “.bmp” images will be given, to enable automatic evaluation.


3.2.1.   The image format of the provided data set of input images is “.tiff”.


3.2.2.   The images produced by the segmentation algorithms must have the same name as the respective input images and format “.bmp”. These will be compared to the manually classified images by the contest framework.












DI-UBI Bloco VI Rua Marquês de Ávila e Bolama P- 6201-001 Covilhã PORTUGAL