This MATLAB based framework allows iris recognition algorithms from all four stages of the recognition process (segmentation, normalisation, encoding and matching) to be automatically evaluated and interchanged with other algorithms performing the same function.

The algorithm for each stage can be selected from a list of available algorithms, with selection available for subfunctions as well. The selected algorithms can then be tested either manually against individual iris images, or automatically against a whole database of them.

Summary results are output in plain text log files; detail result values in csv files and graphs in jpg and enhanced metafile.

Several open source algorithms are included, from Libor Masek, Xin Li and JIRRM. Also, several implementations from papers are included.

Project Samples

Project Activity

See All Activity >

Follow A Generic Platform for Iris Recognition

A Generic Platform for Iris Recognition Web Site

Other Useful Business Software
Auth0 for AI Agents now in GA Icon
Auth0 for AI Agents now in GA

Ready to implement AI with confidence (without sacrificing security)?

Connect your AI agents to apps and data more securely, give users control over the actions AI agents can perform and the data they can access, and enable human confirmation for critical agent actions.
Start building today
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of A Generic Platform for Iris Recognition!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Registered

2016-01-25