Application Based Multimodal Biometric System for Speech Controlled Device
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 4
Abstract
Multimodal biometric systems have been widely used to overcome the limitations of unimodal biometric systems and to achieve high recognition accuracy. Unimodal biometric systems developed for each of the biometric features may not always meets the required performance. We introduce a system on JAVA platform, which integrates face recognition, fingerprint verification, and speech recognition for personal identification. The methods are analysed to integrate the various features together to acquire a multimodal biometric system. This system takes advantage of the capabilities of each individual biometrics. The processed information from all these three modules is combined with the help of fusion algorithm in context switching in which feature vectors are made independently for query images and are then compared to the enrolment templates which are stored during database preparation for each biometric trait. Further, this paper is to propose the integration of Biometric technology with Automobile system and controlling the system using Speech input once the authentication is done, through an Android device and Bluetooth module for portability, thus visualizing the future possibilities of Biometric Authentication and its applications in vehicular world.
Authors and Affiliations
Akshay Ramesh, Sayantan Chakraborty, Jaykumar Chaudhary
Keywords
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- EP ID EP23895
- DOI http://doi.org/10.22214/ijraset.2017.4189
- Views 278
- Downloads 9
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