The election process adopted in Nigeria is mostly paper based or manual. This manually handled process can be time-consuming, and prone to security breaches and electoral fraud. Consequently, this work proposes a biometrically authenticated voting system to provide inexpensive solution to the electoral process in Nigeria. In particular, the biometric database is constructed by filling it with the audio fingerprints and the associated metadata of many audio clips, and then the fingerprint of an unknown clip (or the distorted version of the clip brought by compression or standard audio processing) is extracted and compared to that of the clip in the database. If the fingerprint of the unknown clip is in the database, it will be correctly identified by the matching procedures. The project is implemented with biometric system i.e. fingerprint scanning and facial recognition. Accordingly, this is used to ensure enhanced security, and to avoid fake, repeated voting. Results obtained showed that the proposed system is fast, accurate, reliable, and cost effective, thus a viable option to replace the manual voting process.
Keywords: Biometrics, electoral process, facial recognition, finger print scanning
Main Track: Speech and Audio Processing
