A STUDY ON SECURE ONLINE VOTING SYSTEM IN BIOMETRICS USING VOTING USING DETECTION AND RECOGNITION

Alagappa Institute of Skill Development & Computer Centre,Alagappa University, Karaikudi, India.15 -16 February 2017. IT Skills Show & International Conference on Advancements In Computing Resources (SSICACR-2017)

Format: Volume 5, Issue 1, No 19, 2017

Copyright: All Rights Reserved ©2017

Year of Publication: 2017

Author: S.Nasrin,Dr.V.Palanisamy,R.Anandha Jothi

Reference:IJCS-249

View PDF Format

Abstract

The purpose of this project is to develop an Online E-Voting system by speech detection. Online voting (e-voting) would be more convenient, relatively secure and utilize fewer resources. To be able to access e-voting system from a personal, business or even a public library computer may be more convenient for many people needing to vote.

References

[1] A. Benyassine, E. Shlomot, H. Y. Su, D. Massaloux, C.Lamblin and J. P. Petit, “ITU-T Recommendation G.729 An-nex B: a silence compression scheme for use with G.729 op-timized for V.70 digital simultaneous voice and data applica-tions,” IEEE Communications Magazine 35, pp. 64-73, 1997. [2] M. H. Savoji, “A robust algorithm for accurate end point-ing of speech,” Speech Communication, pp. 45–60, 1989. [3] B. Kingsbury, G. Saon, L. Mangu, M. Padmanabhan and R. Sarikaya, “Robust speech recognition in noisy environ-ments: The 2001 IBM SPINE evaluation system,” Proc. ICASSP, 1, pp. 53-56, 2002. [4] T. Kristjansson, S. Deligne and P. Olsen, “Voicing fea-tures for robust speech detection,” Proc. Interspeech, pp. 369-372, 2005. [5] R. E. Yantorno, K. L. Krishnamachari and J. M. Lovekin, “The spectral autocorrelation peak valley ratio (SAPVR) – A usable speech measure employed as a co-channel detection system,” Proc. IEEE Int Workshop Intell. Signal Process. 2001. [6] M. Marzinzik and B. Kollmeier, “Speech pause detection for noise spectrum estimation by tracking power envelope dynamics,” IEEE Trans. Speech Audio Process, 10, pp. 109-118, 2002. [7] ETSI standard document, ETSI ES 202 050 V 1.1.3., 2003. [8] K. Li, N. S. Swamy and M. O. Ahmad, “An improved voice activity detection using higher order statistics,” IEEE Trans. Speech Audio Process., 13, pp. 965-974, 2005.

Keywords

No Keywords

This work is licensed under a Creative Commons Attribution 3.0 Unported License.   

TOP
Facebook IconYouTube IconTwitter IconVisit Our Blog