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Implementing and analysing FAR and FRR for face and voice recognition (multimodal) using KNN classifier

Dinesh Kumar D.S. (TJIT, Visvesvaraya Technological University, Belagavi, India) (KSIT, Bangalore, India)
P.V. Rao (TJIT, Bangalore, India) (VBIT, Hyderabad, India)

International Journal of Intelligent Unmanned Systems

ISSN: 2049-6427

Article publication date: 3 October 2019

Issue publication date: 14 January 2020

133

Abstract

Purpose

The purpose of this paper is to incorporate a multimodal biometric system, which plays a major role in improving the accuracy and reducing FAR and FRR performance metrics. Biometrics plays a major role in several areas including military applications because of robustness of the system. Speech and face data are considered as key elements that are commonly used for multimodal biometric applications, as they are simultaneously acquired from camera and microphone.

Design/methodology/approach

In this proposed work, Viola‒Jones algorithm is used for face detection, and Local Binary Pattern consists of texture operators that perform thresholding operation to extract the features of face. Mel-frequency cepstral coefficients exploit the performances of voice data, and median filter is used for removing noise. KNN classifier is used for fusion of both face and voice. The proposed method produces better results in noisy environment with better accuracy. In this proposed method, from the database, 120 face and voice samples are trained and tested with simulation results using MATLAB tool that improves performance in better recognition and accuracy.

Findings

The algorithms perform better for both face and voice recognition. The outcome of this work provides better accuracy up to 98 per cent with reduced FAR of 0.5 per cent and FRR of 0.75 per cent.

Originality/value

The algorithms perform better for both face and voice recognition. The outcome of this work provides better accuracy up to 98 per cent with reduced FAR of 0.5 per cent and FRR of 0.75 per cent.

Keywords

Acknowledgements

The authors would like to express sincere thanks and acknowledgement for the constant resource utilization of DIST-FIST, VBIT, Hyderabad and also concurrent support provided by T John Institute of Technology (TJIT), Bangalore.

Citation

D.S., D.K. and Rao, P.V. (2020), "Implementing and analysing FAR and FRR for face and voice recognition (multimodal) using KNN classifier", International Journal of Intelligent Unmanned Systems, Vol. 8 No. 1, pp. 55-67. https://doi.org/10.1108/IJIUS-02-2019-0015

Publisher

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Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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