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Multi-biometrics overview![]() Content of this page
About multi-biometricsTraditional biometric systems rely on a single biometric identifier – such as fingerprint or face – each with its unique advantages A multi-biometric system integrates two or more biometric identifiers and takes advantage of the capabilities of each biometric to provide even greater performance and higher reliability. Such advantage is especially important for large-scale biometric identification systems, Fused biometrics are a completely new breed of technology within the multi-biometrics area. In fused biometrics, single or multiple sensors are used to collect different biometrical information (such as a face image and a fingerprint image) and a fused algorithm is used create a single identification decision based on the results of those measurements. Neurotechnology offers a wide variety of fingerprint and face identification products for various systems, from large-scale cluster-based to embedded or mobile stand-alone devices. Each product is compatible with others meaning that each fingerprint or face identification system could be upgraded to a more reliable multi-biometric system with minimum amount of expences. Large-scale multi-biometricsMegaMatcher 2.1 SDK is intended for developing large-scale AFIS and multi-biometric face-fingerprint identification systems. These types of MegaMatcher 2.1 SDK are available:
The MegaMatcher technology is MINEX certified and allows to use either a fused face-fingerpint recognition algorithm or fingerprint and facial recognition engines separately. The fused algorithm matches up to 400,000 records per second with outstanding reliability. PC-based multi-biometricsVeriFinger SDK can be combined with VeriLook SDK for developing a multibiometric PC-based system. Embedded multi-biometricsFingerCell EDK can be combined with FaceCell EDK for developing a multibiometric embedded or mobile system. |