I-SOCIAL-DB

A Labeled Database of Images Collected from Websites and Social Media for Iris Recognition

Demonstration scripts used to evaluate the I-SOCIAL-DB, described in the paper:

R. Donida Labati, A. Genovese, V. Piuri, F. Scotti, and S. Vishwakarma,
"I-SOCIAL-DB: A labeled database of images collected from websites and social media for iris recognition", 
Image and Vision Computing, vol. 105, no. 104058, January, 2021, pp. 1-9. ISSN: 0262-8856.
DOI: 10.1016/j.imavis.2020.104058

Paper:

https://www.sciencedirect.com/science/article/abs/pii/S0262885620301906?via%3Dihub

Project page:
http://iebil.di.unimi.it/ISocialDB/index.html

Outline:

Citation:

@Article {imavis20,
author = {R. {Donida Labati} and A. Genovese and V. Piuri and F. Scotti and S. Vishwakarma},
title = {I-SOCIAL-DB: A labeled database of images collected from websites and social media for iris recognition},
journal = {Image and Vision Computing},
volume = {105},
number = {104058},
pages = {1-9},
month = {January},
year = {2021},
note = {0262-8856},}

Main files:

• plot_I_SOCIAL.m
  MATLAB script used to plot the iris, the segmentation mask, and the circles approximating the inner and outher iris boundaries.
• convert_JP2_to_BMP.m
  MATLAB script used to convert iris images from the JPEG2000 format to the BMP format.
• convert_JP2_to_BMP.py
  Python script used to convert iris images from the JPEG2000 format to the BMP format.