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About multi-biometrics
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Traditional 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-biometrics
MegaMatcher 2.0 SDK is intended for developing large-scale AFIS and
multi-biometric face-fingerprint identification systems. These types of
MegaMatcher 2.0 SDK are available:
- MegaMatcher 2.0 Light SDK for developing a
client/server based multi-biometric face-fingerprint identification product.
- MegaMatcher 2.0 SDK for developing a large-scale
cluster-based AFIS or multi-biometric identification product.
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-biometrics
VeriFinger SDK can be combined with
VeriLook SDK for developing a multibiometric PC-based system.
Embedded multi-biometrics
FingerCell EDK can be combined with
FaceCell EDK for developing a multibiometric embedded or mobile system.
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