The VeriFinger algorithm matches flat-to-rolled, flat-to-flat or rolled-to-rolled fingerprints with a high degree of reliability and accuracy, as it is tolerant to fingerprint deformations. The VeriFinger algorithm is based on deep neural networks and follows the commonly accepted fingerprint identification scheme, which uses a set of specific fingerprint points (minutiae) along with a number of proprietary algorithmic solutions that enhance system performance and reliability. Numerous awards in competitions and technology evaluations, including FVC and FpVTE, have been received by VeriFinger. Since that time, Neurotechnology has released more than 10 major and minor versions of the VeriFinger, providing most powerful fingerprint recognition algorithms to date. In 1998 Neurotechnology developed VeriFinger, a fingerprint identification technology designed for biometric system integrators. Reasonable prices, flexible licensing and free customer support.FingerCell SDK for embedded platforms, like microcontrollers, optionally available.Available as multiplatform SDK that supports multiple scanners and multiple programming languages.Compact fingerprint template and unlimited database size.

Rolled and flat fingerprint matching that is tolerant to fingerprint translation, rotation and deformation.Full NIST MINEX compliance, FpVTE and FVC awards since 2000.1500+ end-user product brands in 100+ countries used the VeriFinger algorithm over the past 23 years.

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