Published in International Journal of Advanced Research in Electronics, Communication & Instrumentation Engineering and Development
ISSN: 2347 -7210 Impact Factor:1.9 Volume:3 Issue:2 Year: 05 April,2017 Pages:172-177
In India, voting procedure strictly adheres to the principle of Electronic Voting Machines (EVMS) known as offline E-Voting. EVMS have the flexible characteristics like simple design, ease of use, reliability and fast accessing. Unfortunately these EVMS are criticized for the irregularity reports in elections. So these criticisms lead to damaging the main objective of the voters and Election commission also faces arduous task to conduct free and fair elections. To decrease these criticisms many of the researches are into the survey to find out the legitimate voter. Due to lack of photo clarity in the identity cards or any other reasons like Hardware problems in EVMS, malfunctioning officers invalid votes are being casted. This is about the conceptual solution through multimodal biometrics which helps in enhancing the security, eradicating the fraud and provides the high level authentication by linking with the Aadhaar card database. As the automation in biometric authentication is increasing there is demand for the high security for protecting private information and access control with increased speed and accuracy. One of the very important solutions for the security issues is the human behavioral and physiological features in biometrics. However, the existing biometric systems are not suitable in very high security and are highly complex in terms of time or space or both. Thus a biometric authentication based on finger-vein recognition system is proposed. The proposed system is implemented using maximum curvature points algorithm. The analysis is done using the various parameters from matching points. The analysis shows that the finger vein recognition is easier and reliable. High accuracy will be achieved by finger vein recognition systems compared to present EVM system.
EVM, Finger vein, Aadhar card, Voting system.
1.A Finger Vein Image Based Personal Identification System With Self Adaptive Illuminance Control Liukui chen, jing Wang, student member,IEEE, hiyu yang and Haibo He, senior member,IEEE. 2. End-to-End Encryption Based Biometric SaaS: Using Raspberry Pi as a Remote Authentication Node Dhvani K. Shah; Vinayak A. Bharadi; V. J. Kaul; Sameer Amrutia2015 International Conference on Computing Communication Control and Automation. Year: 2015 ,Pages: 52 - 59, DOI: 10.1109/ICCUBEA.2015.19 3.An efficient biometric based personal authentication system using Finger Knuckle Prints features Mourad Chaa; Naceur-Eddine Boukezzoula; Abdallah Meraoumia; Maarouf Korichi ,2016 International Conference on Information Technology for Organizations Development (IT4OD) .Year: 2016 ,Pages: 1 - 5, DOI: 10.1109/IT4OD.2016.7479314 4. Desisting the Fraud in Indias Voting Process through Multi Modalbiometrics P. Vidyasree; S. Viswanadha Raju; G. Madhavi ,2016 IEEE 6th International Conference on Advanced Computing (IACC) ,Year: 2016 Pages:, 488 - 491, DOI: 10.1109/IACC.2016.97 5. A biometric authentication system based on finger vein recognition Manisha Sapkale; S. M Rajbhoj ,2016 International Conference on Inventive Computation Technologies (ICICT) ,Year: 2016, Volume: 3 ,Pages: 1 - 4, DOI: 10.1109/INVENTIVE.2016.7830222 6. A finger vein recognition system Manisha Sapkale; S. M. Rajbhoj ,2016 Conference on Advances in Signal Processing (CASP) Year: 2016 ,Pages: 306 - 310, DOI: 10.1109/CASP.2016.7746185