Project Details:
December 2011- January 2012
Executive Summary:
Executive Summary:
Iris Recognition is a rapidly expanding method of biometric authentication that uses pattern recognition techniques on images of irides to uniquely identify an individual. The aim of the project was compiling a robust database of human irides and to compare the results of the acquired images with the previous popular available database such as Chinese Academy of Sciences' Institute of Automation (CASIA). The project became a stepping stone towards my pursuit for field of Computer Vision and its practical applications. This is the first project i have been involved which is the muse for me for going forward in the filed of Computer Vision.
Achievements:
I successfully compiled a database from about 100 people, containing over 2000 images. I assimilated knowledge about various techniques like Image Processing, Segmentation, Region Of Interest Extraction, Matching, et al.
Towards the end of the project, I recommended a better Iris Capture Device(IriMagic
1000BK),owing to the difficulties that were encountered while image acquisition. This has now replaced the older hardware and is currently in use at the Biometrics Lab, IIT-Delhi.
Detailed Report: pdf
Detailed Report: pdf