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AI Based Online Verification of Scheme Beneficiary

Vibhuti Velgekar1 , Shreya Sawant2 , Samiksha Gawade3 , Vishvesh Shirgaonkar4 , Basil Jose5 , Snehal Bhogan6 , Gaurav Naik7

Section:Research Paper, Product Type: Journal Paper
Volume-9 , Issue-8 , Page no. 52-56, Aug-2021

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v9i8.5256

Online published on Aug 31, 2021

Copyright © Vibhuti Velgekar, Shreya Sawant, Samiksha Gawade, Vishvesh Shirgaonkar, Basil Jose, Snehal Bhogan, Gaurav Naik . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Vibhuti Velgekar, Shreya Sawant, Samiksha Gawade, Vishvesh Shirgaonkar, Basil Jose, Snehal Bhogan, Gaurav Naik, “AI Based Online Verification of Scheme Beneficiary,” International Journal of Computer Sciences and Engineering, Vol.9, Issue.8, pp.52-56, 2021.

MLA Style Citation: Vibhuti Velgekar, Shreya Sawant, Samiksha Gawade, Vishvesh Shirgaonkar, Basil Jose, Snehal Bhogan, Gaurav Naik "AI Based Online Verification of Scheme Beneficiary." International Journal of Computer Sciences and Engineering 9.8 (2021): 52-56.

APA Style Citation: Vibhuti Velgekar, Shreya Sawant, Samiksha Gawade, Vishvesh Shirgaonkar, Basil Jose, Snehal Bhogan, Gaurav Naik, (2021). AI Based Online Verification of Scheme Beneficiary. International Journal of Computer Sciences and Engineering, 9(8), 52-56.

BibTex Style Citation:
@article{Velgekar_2021,
author = {Vibhuti Velgekar, Shreya Sawant, Samiksha Gawade, Vishvesh Shirgaonkar, Basil Jose, Snehal Bhogan, Gaurav Naik},
title = {AI Based Online Verification of Scheme Beneficiary},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2021},
volume = {9},
Issue = {8},
month = {8},
year = {2021},
issn = {2347-2693},
pages = {52-56},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5378},
doi = {https://doi.org/10.26438/ijcse/v9i8.5256}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v9i8.5256}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5378
TI - AI Based Online Verification of Scheme Beneficiary
T2 - International Journal of Computer Sciences and Engineering
AU - Vibhuti Velgekar, Shreya Sawant, Samiksha Gawade, Vishvesh Shirgaonkar, Basil Jose, Snehal Bhogan, Gaurav Naik
PY - 2021
DA - 2021/08/31
PB - IJCSE, Indore, INDIA
SP - 52-56
IS - 8
VL - 9
SN - 2347-2693
ER -

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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.

Key-Words / Index Term

MFCC(Mel Frequency Cepstral Coefficient), DTW(Dynamic Time Warping), Speaker Identification, Spekaer recognition, IVRS(Interactive Voice Response System), Identification, Verification, DCT(Discrete Fourier Transform)

References

[1] Researchgate.net. [Online]. Available: https://www.researchgate.net/publication/329595695_Some_Commonly_Used_Speech_Feature_Extraction_Algorithms/citation/download. [Accessed: 27-Aug-2021].
[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.