AI Based Online Verification of Scheme Beneficiary

Authors

  • Vibhuti Velgekar Department of Computer Engineering, Agnel Institute of Technology and Design, Goa University, Mapusa, India 7Infotech Corporation of Goa, Panaji Goa
  • Shreya Sawant Department of Computer Engineering, Agnel Institute of Technology and Design, Goa University, Mapusa, India 7Infotech Corporation of Goa, Panaji Goa
  • Samiksha Gawade Department of Computer Engineering, Agnel Institute of Technology and Design, Goa University, Mapusa, India 7Infotech Corporation of Goa, Panaji Goa
  • Basil Jose Department of Computer Engineering, Agnel Institute of Technology and Design, Goa University, Mapusa, India 7Infotech Corporation of Goa, Panaji Goa
  • Snehal Bhogan Department of Computer Engineering, Agnel Institute of Technology and Design, Goa University, Mapusa, India 7Infotech Corporation of Goa, Panaji Goa
  • Gaurav Naik Department of Computer Engineering, Agnel Institute of Technology and Design, Goa University, Mapusa, India 7Infotech Corporation of Goa, Panaji Goa
  • Vishvesh Shirgaonkar Department of Computer Engineering, Agnel Institute of Technology and Design, Goa University, Mapusa, India 7 Infotech Corporation of Goa, Panaji Goa

DOI:

https://doi.org/10.26438/ijcse/v9i8.5256

Keywords:

MFCC(Mel Frequency Cepstral Coefficient), DTW(Dynamic Time Warping)

Abstract

In order to benefit from different social schemes, the beneficiaries need to submit his/her Life Certificate in offline or online modes which are not affordable by the common man. This certificate is used as a proof to ensure that the person mentioned in the ‘Life Certificate’ is alive. The current prevailing methods for this are time-consuming as well as tedious for senior citizens as the have to stand in long queues. This paper presents a computationally simple and efficient enhancement technique that uses voice-verification algorithms to distinguish the beneficiaries and perform verification. The proposed method uses online mode along with feature extraction and pattern matching techniques.

References

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[2] F. Bimbot et al., “A tutorial on text-independent speaker verification,” EURASIP J. Adv. Signal Process., vol. 2004, no. 4, 2004.

[3] S. Malini and R. Kousalya, “Speaker Identification using MFCC and DTW Technique on the Enhanced Speech Signal in a Noisy Environment,” Int. J. Eng. Res. Technol. (Ahmedabad), vol. 4, no. 14, 2018.

[4] A. H.Mansour, G. Zen Alabdeen Salh, and K. A. Mohammed, “Voice recognition using dynamic time warping and Mel-frequency cepstral coefficients algorithms,” Int. J. Comput. Appl., vol. 116, no. 2, pp. 34–41, 2015.

Open Access

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Published

2021-08-31
CITATION
DOI: 10.26438/ijcse/v9i8.5256
Published: 2021-08-31

How to Cite

[1]
V. Velgekar, “AI Based Online Verification of Scheme Beneficiary”, Int. J. Comp. Sci. Eng., vol. 9, no. 8, pp. 52–56, Aug. 2021.

Issue

Vol. 9 No. 8 (2021): IJCSE August Edition

Section

Research Article

License

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