Neurotechnology updates MegaMatcher biometric SDK to improve fingerprint and facial recognition

Neurotechnology has released an update of its MegaMatcher biometric software development kit (SDK) with higher accuracy and new features.

With the introduction of the MegaMatcher 12.1 SDK line, Neurotechnology is improving the algorithms’ biometric accuracy for both fingerprint and face recognition, according to a company announcement.

MegaMatcher is an Automated Biometric Identification System (ABIS) that includes various algorithms and software necessary for the design of large-scale multi-biometric projects using fingerprint, face, iris, and palmprint biometrics.

The system can be used as it is or can be tailored to specific applications, including national ID, voter registration, passport issuance, border control, and more.

The latest version of MegaMatcher improves fingerprint recognition by introducing a special fingerprint matching mode for cases when some fingerprint records have poor resolution, as well as an upgraded segmenter algorithm to improve the handling of complex segmentation cases.

In terms of face biometrics, the MegaMatcher 12.1 SDK now features face liveness detection from a single frame, improved mask detection accuracy, and an updated face liveness algorithm including passive and active modes with better blink detection.

Extraction algorithm performance has also been improved on Android, iOS, and ARM Linux platforms.

Following the update, the MegaMatcher ABIS server will be able to connect using NBiometricClient to facilitate the migration of applications that were created to perform operations locally or communicate with MegaMatcher Accelerator. 

Additionally, quality checks can now be disabled for a specific biometric modality by setting a parameter value, for scenarios where rescanning or rejecting data is not possible.

Finally, WebP image format support was added to the program.

Besides MegaMatcher, Neurotechnology also released an upgrade of its SentiVeillance SKD last week, introducing biometrics for masked faces, and new tracking features.

Article Topics

accuracy  |  biometric software  |  biometrics  |  facial recognition  |  fingerprint recognition  |  MegaMatcher  |  Neurotechnology  |  SDK