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A Coupling of Voice and Iris Based Multimodal Biometric System for Person Authentication

Vijay K.Kale1 , Prapti D.Deshmukh2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-11 , Page no. 33-38, Nov-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i11.3338

Online published on Nov 30, 2018

Copyright © Vijay K.Kale, Prapti D.Deshmukh . 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: Vijay K.Kale, Prapti D.Deshmukh, “A Coupling of Voice and Iris Based Multimodal Biometric System for Person Authentication,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.11, pp.33-38, 2018.

MLA Style Citation: Vijay K.Kale, Prapti D.Deshmukh "A Coupling of Voice and Iris Based Multimodal Biometric System for Person Authentication." International Journal of Computer Sciences and Engineering 6.11 (2018): 33-38.

APA Style Citation: Vijay K.Kale, Prapti D.Deshmukh, (2018). A Coupling of Voice and Iris Based Multimodal Biometric System for Person Authentication. International Journal of Computer Sciences and Engineering, 6(11), 33-38.

BibTex Style Citation:
@article{K.Kale_2018,
author = {Vijay K.Kale, Prapti D.Deshmukh},
title = {A Coupling of Voice and Iris Based Multimodal Biometric System for Person Authentication},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2018},
volume = {6},
Issue = {11},
month = {11},
year = {2018},
issn = {2347-2693},
pages = {33-38},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3121},
doi = {https://doi.org/10.26438/ijcse/v6i11.3338}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i11.3338}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3121
TI - A Coupling of Voice and Iris Based Multimodal Biometric System for Person Authentication
T2 - International Journal of Computer Sciences and Engineering
AU - Vijay K.Kale, Prapti D.Deshmukh
PY - 2018
DA - 2018/11/30
PB - IJCSE, Indore, INDIA
SP - 33-38
IS - 11
VL - 6
SN - 2347-2693
ER -

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Abstract

Automatic human authentication by machine has been an active research area.This research work focus on development of Voice and Iris based Multimodal biometric system for human Authentication. The experimental work divided in three part, first and second part develop unimodel Voice and Iris biometric system and third experiment carried out for multimodal biometric fusion .we have achieve above form Multimodal biometric system results using KVKRG Voice and KVKR Iris database is FAR1.4% ,FRR 0.8%, Accuracy is 97.8%, ASV2015 voice and MMU Iris Database is FAR1.0% ,FRR 0.6%, Accuracy is 98.4% , Regional Voice Database and KVKR Iris database is FAR1.1% ,FRR 0.6%, Accuracy is 98.3%.

Key-Words / Index Term

Multimodel ,Voice ,Iris, MFCC, Fusion

References

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