Multimodal Biometric Recognition
Multimodal Biometric Pattern Recognition and Comparison
The use of biometric data requires several steps and expertise in complementary disciplines. First images of finger and palm prints, faces and irises – or in the case of multi-biometrics, a combination of these – are acquired, and processed to render the data usable. Then feature extraction is used to create a template. Finally, these models are compared to the database using complex shape recognition algorithms that allow the identification or verification of an individual.
Morpho technologies allow the use of multiple biometrics in a complementary fashion. Rather than relying upon a serial processing path, in which the results from one biometric search are passed on to another biometric modality, the Morpho architecture allows intelligent parallel processing in which all biometrics are considered simultaneously as part of an intelligent decision-making process.
A leader in biometrics for over 40 years, the supplier of fingerprint and face matching capabilities for the U.S. Federal Bureau of Investigation (FBI) Next Generation Identification (NGI) system, and the clear leader in the deployment of statewide automated fingerprint identification systems (AFIS), Morpho continues to develop these technologies. For example, advances in matching algorithms and database architecture mean that Morpho systems can produce several million comparisons per second for identification and authentication applications.