This repository contains the code for an E-Voting System through Iris Recognition, developed by Alina Baber in 2014. The system uses iris recognition technology for biometric authentication, enabling secure and tamper-proof online voting.
The project was a significant milestone in demonstrating the potential of biometric technologies for secure voting systems. It was featured in The Express Tribune for its innovative approach to combining biometric security with online voting.
- Biometric Authentication: The system uses iris recognition for voter authentication, ensuring a high level of security and preventing identity fraud.
- Template Generation: The system converts eye images into biometric templates (binary format) for comparison and authentication.
- Matching Algorithm: The system calculates Hamming distance to compare templates and verify voter identity.
- Integration with ASP.NET: The backend is integrated with ASP.NET for handling the voting process and ensuring secure submission of votes.
The goal of this project was to create a secure and transparent online voting system that minimizes the risk of fraud and ensures that only authenticated individuals can cast their votes. The use of iris recognition ensures that the identity of each voter is accurately verified.
The system requires a dataset of eye images for biometric template generation and comparison. You can use the following publicly available datasets for testing:
- Chinese Academy of Sciences Iris Image Database:
This dataset contains a large collection of iris images for biometric research, and can be accessed here:
Chinese Academy of Sciences Eye Image Database
This project was covered by The Express Tribune, recognizing it as an innovative application of biometric technology in the field of secure e-voting.
The Express Tribune Article
Dawn News
Samaaa TV
Dunia News
Jaag TV
- The code does not include functionality for storing biometric templates in a database or evaluating match performance. These features might be added in future versions.
- A database of iris images is required for testing the system. The dataset mentioned above is a great starting point for research and development.
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This code is distributed without any warranty.
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If you use this code or portions of it in any publications, please refer to the following:
Alina Baber, E-Voting System Using Iris Recognition. 2014.
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An electronic copy of any related publications should be sent to:
[email protected]
- Libor Masek, Peter Kovesi. MATLAB Source Code for a Biometric Identification System Based on Iris Patterns. The School of Computer Science and Software Engineering, The University of Western Australia, 2003.
MATLAB Source Code for Biometric Identification
Feel free to explore and contribute to this project! If you have any questions or suggestions, please feel free to open an issue or contact me directly.