A Comparative Study on Unimodal and Multimodal Biometric Recognition

Biometrics is one of the recent trends in security, which is mainly used for verification and recognition systems. By using biometrics we confirm a particular person’s claimed identity based on particular person’s physiological or behavioral characteristics such as fingerprint, face or voice etc. Most biometric systems deployed in real-world applications are unimodal, such as they use a single source of information for authentication (e.g., single fingerprint, face, voice etc.). Some of the limitations imposed by unimodal biometric systems can be overcome by including multiple sources of information for establishing identity. In this paper, it is shown that fingerprint and face recognition can form a good combination for a multimodal biometric system.