Add fingerprint recognition library in your embedded system application.
MicroFinger SDK is a library aimed at system integrators willing to quickly add fingerprint recognition technology to their embedded system. Depending on our customers’ needs, we can tailor our algorithms to specific targets.
Features included
Finger Capture
Compatible with a wide range of fingerprint scanners from leading manufacturers, ensuring versatile and comprehensive biometric data acquisition.
Features Extraction
Efficiently extracts minutiae and proprietary templates to facilitate accurate biometric matching and verification.
One-to-One Comparison
Enables precise one-to-one fingerprint comparison for reliable identity verification.
One-to-Many Search
Performs rapid one-to-many searches, capable of matching millions of fingerprints per second.
NFIQ Quality Analyzer
Incorporates advanced algorithms to assess and enhance fingerprint image quality.
WSQ Compression
Ensures compliance with FBI Certification for Version 3.1 WSQ Gray-Scale Fingerprint Image Compression Specification.
Specifications
Optimized AI models.
Embedded optimized AI models.
The models we develop are optimized to reduce the size of libraries and improve execution speed on small embedded targets such as microcontroller.
300 ms
Enrolment
0.1 s
Verification
< 1 s
Identification
*Performances obtained on NXP i.MX 8M Plus.
Reliable technology proven in a world-renowned NIST MINEX III evaluation.
Our participation in the NIST MINEX III evaluation demonstrates our dedication to industry standards and continuous improvement. The MINEX (Minutiae Interoperability Exchange) evaluation, conducted by the National Institute of Standards and Technology (NIST), rigorously tests the performance of fingerprint recognition technologies. By benchmarking our technology against these stringent standards, we demonstrate our commitment to developing solutions that are not only innovative but also reliable and trustworthy. This evaluation highlights the excellence of our fingerprint recognition technology in terms of accuracy, speed, and interoperability. This ensures robust performance across various applications in civil, law enforcement, and homeland security domains.
Developer documentation.
We provide comprehensive documentation and developer guides to facilitate a smooth implementation process of our Face sdk.
