| Summary: | Technology has come a long way in which people in this digital age are now more
dependent on. With the outbreak of Covid-19, the use of technology has become the
essential of the living lifestyle. During this time, policies such as lockdowns and social
distancing measures has brought a significant increase in the usage of online
applications and services as many had to rely on online shopping, working from home,
virtual meetings, and other online activities [1]. Despite the conveniences of using
online applications and services, the number of cyber-attacks is on the rise too and
many have been affected by these attacks. Hence, the need to use multimodal biometric
for authentication is pivotal as it adds an additional layer of security over the
conventional way of using numbering in password or a unimodal biometric which
provides only a single layer of protection via biometric data for authenticating an
online application and services. Multimodal biometric authentication will be able to
provide and enhance the level of protection for online services and applications.
In the early stage of this project, the author will investigate and analyse various types
of biometric technologies available. Thereafter, the best technique of biometric will be
chosen and used as a testing bed for the project. Python language software will be the
assistant to the implementation of the algorithms. Hence, with the integration of the
software and hardware build of the biometric system. The author will create a simple
prototype authentication application.
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