The use of mobile applications nowadays has been implemented in various fields. Especially in online transactions via smartphone devices, business people have decreased quite a lot because they provide benefits in transactions. Through the mobile application, businesses can process transactions anywhere and anytime. One security aspect regarding authentication is an important concern for consumer who use mobile devices. So far, most of the authentication is done by only using password security, but the level of security is still quite easy to bypass the security. A better level of authentication can be done by utilizing biometric technology into the application security system. Several studies that have been conducted still use unimodal biometric systems to provide good authentication guarantees. This investigation is carried out by research that can improve the authentication of the existing models by applying multimodal biometric authentication based on voice and face images. In voice biometric authentication, the method of MFCC (Mel Frequency Cepstrum Coefficients) and DTW (Dynamic Time Warping) will be used, while facial authentication will apply the PCA (Principle Component Analysis) method. The results obtained show that the user authentication success rate reaches 90%. Therefore, biometric multimodal security can begin to be used for security systems in electronic transactions via smartphone devices.
authentication, biometrics, multimodal, MFCC, PCA
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