White papers on biometrics from M2SYS Technology

Browse through our educational library of white papers to expand your knowledge of biometric technologys applications to solve problems. Plus, we offer additional White papers that provide an in-depth look at the current state and future direction of biometrics for identification.

Research
Research

Whitepaper – The rise of multimodal biometric identification systems

The importance of incorporating multimodal biometric identification systems for large-scale deployments cannot be overstated for its ability to identify duplicates, ensure the highest level of identity accuracy, and guard against spoofing or forgery. Congruent with the reality that multimodal biometric identification systems are almost mandatory in modern deployments is the importance of selecting the appropriate biometric modalities that will be used within the system.

With the proliferation of biometric modality choices on the market, which ones are most suitable and should be used in combination for individual identification? The answer is: it depends on the unique needs of the end user, budget, internal and external support infrastructure, and public perception/acceptance of biometric technology.

Here is a brief excerpt from the multimodal biometrics whitepaper:

It may come as no surprise then that the use of a multimodal approach to biometric identification requires a higher allocation of resources and time, especially during the initial enrollment and data collection phase, but in deployments where security and accuracy are paramount, multimodal systems have become ubiquitous. It therefore follows that customers who seek to maximize the accuracy of biometric identification systems are investing in multimodal biometric systems. By moving beyond unimodal deployments, adding additional modalities also accelerates the de-duplication process and is more accurate. This is especially true as you add users to an existing database where the de-duplication process compares the newly enrolled person against the total existing biometric database.

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