ADVANTAGES OF MULTIMODAL BIOMETRIC SYSTEM

The most favorable biometric system is one having the properties of individuality, universality, durability, suitability, collectability, and safekeeping. As we saw in the preliminary chapters, no obtainable biometric security system concurrently meets all of these necessities. Despite wonderful progress in the field, over the last decades researchers noticed that while a single biometric trait might not always make happy secure system necessities, the amalgamation of traits from different biometrics will do the job. The key is in aggregation of data and intelligent decision making based on responses received from individual (unimodal) biometric systems.

Thus, Multimodal biometrics emerged as a new and highly promising approach to biometric knowledge illustration, which strives to overcome problems of personality biometric matchers by consolidating the confirmation presented by multiple biometric traits. As an example, a multimodal system may use both face appreciation and signature to validate a person. Due to reliable and efficient security solutions in the security dangerous applications, multimodal biometric systems have evolved over last decade as a viable alternative to the traditional unimodal security systems.

2. ADVANTAGES OF MULTIMODAL BIOMETRIC SYSTEM

The advantages of multimodal biometric systems over unimodal systems are mainly due to utilization of more than one information source. Figure 1 shows a sample multimodal biometric system. The most prominent implications of this are increased and reliable recognition performance, fewer enrolment problems, and enhanced security.

A multimodal system allows for a superior level of declaration of a proper match in corroboration and recognition modes. As multimodal biometric systems use more than one biometric attribute, each of those personalities can offer additional confirmation about the genuineness of any identity claim. For example, the gaits (the patterns of movements) of two persons of the same family (or coincidentally of two different persons) can be similar. In this scenario, a unimodal biometric system based only on gait model analysis may results in false recognition. If the same biometric system also includes fingerprint corresponding, the system would results in increased recognition rate.