Miaxis Justouch® Fingerprint Recognition SDK
Fast, accurate fingerprint capture, feature extraction, and matching for easy device and platform integration
OVERVIEW
With nearly two decades of experience in biometric recognition and continuous innovation, Miaxis has developed a robust core fingerprint recognition platform powered by the world-renowned Justouch® Fingerprint Algorithm.
This patented algorithm has earned the trust of over 2,000 financial institutions, including the headquarters of China’s top five state-owned banks, capturing over 60% of the domestic financial biometrics market.
The Justouch® Fingerprint Recognition Algorithm is fully qualified by the Chinese Ministry of Public Security and the Government of India, and has achieved recognition in NIST MINEX III.
FEATURES
Intelligent Image Processing
Mimics human visual recognition behavior through advanced genetic experience modeling to faithfully extract, classify, and refine fingerprint features. Ensures distinctiveness, stability, and independence of fingerprint minutiae for high-accuracy matching.
High Performance — National & International Standards
National Standard: Certified by the Chinese Ministry of Public Security for the Chinese ID Card Program.
EER < 0.1%, FAR < 0.05% (at FRR = 0.5%)
1:1 matching < 0.5s
International Standard: Compliant with NIST MINEX III.
Interoperable PIV Level 1 MINEX III-compatible template generator
Accurate native PIV Level 2 MINEX III-compliant template generator
Excellent Portability
Developed fully in C/VC, the algorithm offers outstanding cross-platform portability:
Embedded systems: DSP, ARM, STM32, N329XX, I94113/I94124, GD32FFPR, ACH512
Mobile platforms: Android, iOS
Desktop systems: Windows, Linux, UNIX
Biometric Standards Support
Supports ISO/IEC 19794-2 and ANSI 378 template formats, ensuring interoperability with global biometric systems.
Fast Extraction & Matching
Capable of processing and verifying a 500 dpi, 256×256 fingerprint image in just 60 ms, enabling real-time user authentication.
Compact Footprint
Extremely lightweight design — less than 48 KB code length and under 64 KB data memory, making it one of the world’s most compact fingerprint recognition algorithms.
Case Study

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