About VeriFinger SDK
VeriFinger SDK is the industry benchmark for Fingerprint Recognition.
VeriFinger SDK is the industry benchmark for Fingerprint Recognition. It is a "developer’s dream" for building large-scale, high-security systems like national voting registries or enterprise-grade authentication. While it requires a high level of technical expertise to deploy, its unmatched speed, NIST-certified accuracy, and hardware-agnostic nature make it a far superior choice over the free, limited SDKs bundled with fingerprint scanners. If you are building a professional biometric system, VeriFinger is the engine you want under the hood.
Pros & Cons
- You can extract a template on Android and match it on a Linux server without compatibility issues.
- The one-time fee per computer/server is very cost-effective for large-scale deployments.
- VeriFinger works with almost any brand of hardware.
- The manuals are incredibly thorough but can be overwhelming for a beginner.
- It requires significant C++ or Java knowledge to implement.
Features
Key features
Fully supports ISO/IEC 19794-2/4 and ANSI/INCITS 378/381 standards for data interchange.
Advanced Presentation Attack Detection (liveness detection) to prevent spoofing with fake fingers.
A single codebase can target Windows, Linux, macOS, iOS, and Android.
High tolerance for deformations, allowing the matching of "flat" prints against "rolled" forensic prints.
Capable of matching up to 40,000 fingerprints per second on a single PC.
Additional features
Proven accuracy levels that meet international government standards.
Identifies and separates multiple fingerprints within a single image.
Pre-written code in C#, Java, and Python to reduce development time.
Native connectors for major RDBMS to store biometric templates securely.
(Extended SDK only) A ready-to-use component for network-based biometric systems.
The system can scale to handle millions of records without performance degradation.
Algorithm is designed to utilize all available CPU cores for maximum speed.
Configurable template sizes (700 bytes to 6KB) to optimize database storage.
Cleans up poor quality images (ridge ruptures/noises) for reliable minutiae extraction.
Tells the user if a finger is too dry, too wet, or pressed too lightly before capture.
Performs 1:1 verification or 1:N identification against massive databases.
High-speed conversion of raw fingerprint images into secure, compact templates.
Pricing
Countries & Languages
Interface languages
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About VeriFinger SDK
VeriFinger SDK is the industry benchmark for Fingerprint Recognition.
VeriFinger SDK Details
VeriFinger SDK's In-App Market Place
Does VeriFinger SDK have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
0
Mini Apps
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€)
Pros & Cons
- You can extract a template on Android and match it on a Linux server without compatibility issues.
- The one-time fee per computer/server is very cost-effective for large-scale deployments.
- VeriFinger works with almost any brand of hardware.
- The manuals are incredibly thorough but can be overwhelming for a beginner.
- It requires significant C++ or Java knowledge to implement.
VeriFinger SDK's Support Options
Email Address
info@neurotechnology.comContact
+370 5 277 3315VeriFinger SDK's Alternatives
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Q-Access
Q-Access is an access management software from Qareeb that redefines security protocols. It provides AI-powered…
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