Development of A Fingerprint Biometric Authentication System For Secure Electronic Voting Machines
Abstract views: 527

Development of A Fingerprint Biometric Authentication System For Secure Electronic Voting Machines

B U Umar, O M Olaniyi, L A Ajao, D Maliki, I C Okeke


            Democratic government in the world today rely on electronic voting as the foremost means of providing credible, transparent and fair elections for the electorate. There is a need for developed electronic voting systems to be security enhanced to ensure the authenticity of the developed system. Traditional paper balloting systems suffer from vote tampering, multiple voting and illegal voting by unregistered voters. They are also, susceptible to under aged voting due to the difficulty in authenticating the identity of prospective voters. Manual collation and publication of vote results also leads to slow response times and inaccuracies in published results. This research paper proposes a system to combat the current challenges through the development of a fingerprint biometric authentication system for secure electronic voting machines. It uses a fingerprint biometric sensor, integrated via Python to verify users of the system. The inclusion of biometrics improves the security features of the system. The secure voting system is built using PHP and easy to use Graphical User Interface was designed using HTML and CSS. Users are required to interact with the machine via a 7” touchscreen interface. From the results, it shows that the developed machine has a minimum response time of 0.6 seconds for specific operation, an FAR of 2%, FRR of 10% and overall system accuracy of 94%. The developed machine is able to combat the challenges of authentication of users, thereby guaranteeing the transparency, credibility, integrity and vote authenticity of the elections.


Fingerprint Authentication, Biometric Security, Electronic Voting, Integrity

Full Text:



[1] Alhasnawi, M. K., & Alkhalid, A. S. (2017). Secure Online Voting using Steganography and Biometrics. International Journal of Current Engineering and Technology, 7(3), 1097–1104.

[2] Najam, S. S., Shaikh, A. Z., & Naqvi, S. (2018). A Novel Hybrid Biometric Electronic Voting System: Integrating Finger Print and Face Recognition. Mehran University Research Journal of Engineering and Technology, 37(1), 59–68.

[3] Ahmad, S., Abdullah, S. A. J., & Arshad, R. B. (2015). Issues and challenges of transition to e-voting technology in Nigeria. Public Policy and Administration Research, 5(4), 95–102.

[4] Salimonu, R. I., Osman, W. R. B. S., Shittu, A. J. K., & Jimoh, R. G. (2013). Adoption of E-Voting System in Nigeria : A Conceptual Framework. International Journal of Applied Information System, 5(5), 8–14.

[5] Alausa, D. W. S., & Akingbade, L. O. (2017). Electronic Voting : Challenges and Prospects in Nigeria ’ s Democracy. The International Journal of Engineering and Science, 6(5), 67–76.

[6] Saxena, P., Prakash, S., & Pandey, P. (2017). Design of Biometric Electronic Voting Machine. International Journal of Advance Research, Ideas and Innovations in Technology, 3(6), 211–214.

[7] Ibañez, E., Galdámez, N., Estrebou, C., Pasini, A., Chichizola, F., Rodríguez, I. P., & Pesado, P. M. (2009). Biometric identification in electronic voting systems. In Ciencias de la Computación (pp. 1295–1303).

[8] Patni, G., & Sharma, S. (2017). Biometric System Introduction with its various Identification Techniques. International Journal of Scientific Research in Computer Science, Engineering and Technology, 2(3), 866–871.

[9] Olaniyi, O. M., Taliha, F. A., Abdullahi, I. M., & Abdusalam, A. K. (2015). Design and Development of Secure Electronic Voting System Using Radio Frequency Identification and Enhanced Least Significant Bit Audio Steganographic Technique. IOSR Journal of Computer Engineering Ver. V, 17(6), 2278–2661.

[10] Olaniyi, O. M., Taliha, F. A., Ahmed, A., & Joseph, O. (2016). Design of Secure Electronic Voting System Using Fingerprint Biometrics and CryptoWatermarking Approach. International Journal of Information Engineering and Electronic Business, 8(5), 9–17.

[11] Himanshu Srivastava. (2013). A Comparison Based Study on Biometrics for Human Recognition. IOSR Journal of Computer Engineering (IOSR-JCE) , 15(1), 22–29.

[12] Hossain, M. J., Shakur, A. S., Ahmed, M. J., & Paul, B. (2015). Designing a Cost Effective , Reliable and Scalable Electronic Voting Machine for National Election of Bangladesh. In Recent Advances in Circuits, Systems and Automatic Control (pp. 79–88). Bangladesh.

[13] Sudhakar, M., Divya, B., & Sai, S. (2015). Biometric System Based Electronic Voting Machine Using Arm9 Microcontroller. IOSR Journal of Electronics and Communication Engineering Ver. II, 10(1), 2278–2834.

[14] Alaguvel R., G., G., & Jagadhambal K. (2013). Biometrics using Electronic Voting System with Embedded Security. International Journal of Advanced Research in Computer Engineering & Technology, 2(3), 2278–1323.


  • There are currently no refbacks.

Indexed by: 


Referencing Software:

Checked by:

Supervised by:


View My Stats

Creative Commons License Kinetik : Game Technology, Information System, Computer Network, Computing, Electronics, and Control by is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.