
Nexa|FingerprintAware
High-performance fingerprint recognition and authentication SDK for biometric identification and deduplication.
Vendor
Aware
Company Website
Product details
Nexa|Fingerprint™ is a software development kit (SDK) providing high-performance biometric algorithms for multistage fingerprint recognition, rapid authentication, and large-scale biometric identification or deduplication.
Key Features
High-performance fingerprint algorithms
- Fast, accurate search and match for fingerprint images
- Supports multi-stage fingerprint matching (flats, rolls, multi-finger images, up to ten fingerprints and 14-image sets)
Scalable and extensible architecture
- Fully scalable for deployment on workstations or servers
- Extensible to large-scale cluster computing platforms (e.g., Astra™)
Well-designed, easy-to-use APIs
- Reliable and configurable APIs for easy integration
- C, .NET, JNI, and Web Service interfaces
Tunable for performance optimization
- Tools for performance optimization based on database size/quality, RAM/CPU, and target speed/accuracy
Support for authentication, identification, and deduplication
- 1:1 match, 1:many search, and deduplication capabilities
Data quality analysis
- Human-interpretable match and confidence scores
- Optional image preprocessing and QA SDKs for enhanced accuracy
Portable and multi-platform support
- Runs on 32-bit and 64-bit Windows and Linux
- Supports all major image formats
Enhanced functionality
- Live scan support, sequence checking, high-performance segmentation, and ANSI/NIST ITL-1 2011 transaction parsing
Benefits
Reliable and proven technology
- Trusted provider with over 20 years of experience in biometric software
Flexible deployment
- Can be used standalone or integrated with other Aware SDKs and platforms
High accuracy and speed
- Optimized for rapid, high-volume fingerprint authentication and identification
Vendor flexibility
- Modular architecture allows use of third-party algorithms, preventing vendor lock-in
Technical support
- Supported by experienced technical teams for implementation and optimization