Develop Your fingerprint recognition Application With Our Tools.
id3 Finger SDK is a cross-platform library aimed at system integrators willing to quickly add state-of-the-art, standardized and sensor independent fingerprint recognition technology to their products. It is available as a Software Development Kit (SDK) offering a comprehensive interface to simplify integration of the library on servers, desktops/laptops, mobile and edge devices.
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
ISO/ANSI Finger Data Format Support.
Compliance to International Standards.
Our fingerprint recognition sdk supports ISO/ANSI finger data formats, ensuring compatibility with global biometric systems. By adhering to these international standards, id3 Finger SDK guarantees broad interoperability, allowing organizations to integrate with various biometric databases and systems effortlessly, enhancing both security and usability.
Versatile Programming Interface.
Comprehensive API Across Multiple Languages.
The id3 Finger SDK provides a versatile programming interface, offering a simple yet comprehensive API that supports a wide range of programming languages. This includes popular languages such as C, C++, C#, Dart, Java, Kotlin, Python, and Swift, enabling developers to integrate biometric functionalities seamlessly into diverse applications and platforms.
Cross-Platform Compatibility.
Support Across Major Operating Systems.
The id3 Finger SDK is designed for cross-platform compatibility, supporting Windows, Linux, macOS, Android, and iOS operating systems. This ensures that developers can deploy biometric solutions across different environments with ease, providing flexibility and scalability for diverse deployment scenarios.
Optimized AI models
High-Performance Matching Algorithms
False non match rate (FNMR) is the proportion of mated comparisons below a threshold set to achieve the false match rate (FMR) specified. FMR is the proportion of impostor comparisons at or above that threshold. Since FMR and FNMR is in inverse proportion to each other, choosing the operational threshold is a trade-off between system security and user convenience. The models we develop are optimized to reduce library size and improve execution speed on small embedded targets. The templates generated by our extraction algorithms are among the smallest on the market (less than 148 bytes) and the matching algorithm also requires very few resources, which allows possible applications on secure elements.
0.01%
FMR
0.12%
FNMR
0.3 ms
Matching time
*Performances obtained on a large sensor (above 200x200px at 500dpi)
Reliable Technology Proven in the 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.
