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Multi-Modal Authentication Using Machine Learning Algorithm
Author(s) -
Anil Kumar Gona,
M. Subramoniam
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f1192.0986s319
Subject(s) - biometrics , computer science , modal , authentication (law) , speaker verification , algorithm , machine learning , artificial intelligence , computer security , speaker recognition , chemistry , polymer chemistry
In the present era of information technology, there is a need to implement verification and approval strategies for security of resources. Whereas, there are number of approaches to demonstrate validation and approval, yet the biometric verification beat every other method. At first, biometrics began off with straightforward unimodal framework, the higher requirement for security had offered ascend to a prevalent framework known as multimodal verification framework. Multimodal verification confirmation has pulled in compelling interest, on account of its hugeness towards the constant application In this research proposal, an effective framework for multimodal verification authentication systems based on machine learning algorithm is employed.

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