APPLICATION OF MULTIMODAL BIOMETRIC SYSTEM IN HANDLING SECURITY MOBILE APPLICATION BASED ON SOUND BIOMETRICS AND FACE IMAGES

Utilization of mobile applications at this time so much has been applied

in various fields. The use of smartphones in online transactions is quite a lot

desirable by business people because it provides convenience in transactions.

Through mobile applications, business people can process transactions anywhere

and whenever.

One aspect of security regarding authentication is an important concern

for transactors who use mobile devices. All this time

authentication is mostly done by simply utilizing password security,

which is still quite easily breached security. More authentication level

both can be done by utilizing biometrics technology into the system

existing security. There are still many studies that have been done

using a unimodal biometrics system to be able to provide guarantees

good authentication.

After seeing the weaknesses of unimodal authentication, the writer will do

research that can improve on existing authentication models, by applying

multimodal biometrics authentication based on voice and face imagery. In

voice biometrics authentication will use the MFCC (Mel Frequency method)

Cepstrum Coefficients) and DTW (Dynamic Time Warping), while for

face image verification will apply the PCA (Principle Component) method

Analysys). The author hopes the results of this study can form a security system

with better authentication, so only the actors have it

only authority, which can carry out transactions electronically through a device

their mobile / smartphone.

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