Enterprise-grade fingerprint, face, and iris recognition engines. Fast, reliable, and standards-compliant biometric verification for mission-critical systems. Built by experts, trusted by governments and enterprises worldwide.
A comprehensive biometric recognition toolkit for developers building secure, high-performance identity verification systems
Advanced minutiae extraction and matching. Handles poor quality images, scales to millions of templates, supports ISO/IEC 19794-2 standard.
Deep learning-based face detection and matching. Works across lighting conditions, angles, and poses. Multi-sample enrollment for accuracy.
High-precision iris segmentation and matching. Advanced spoof detection, quality assessment, and efficient template encoding for large-scale deployments.
Combine multiple biometric modalities for higher accuracy. Score-level and decision-level fusion support for mission-critical verification.
Efficient storage and retrieval of biometric templates. Supports standard formats, encryption, and compression for optimized performance.
GPU and multi-core CPU optimization. Parallel processing for batch operations and real-time performance in high-throughput systems.
Battle-tested biometric algorithms engineered for accuracy, speed, and reliability across diverse operational environments
High-speed minutiae extraction and matching with advanced quality assessment. Handles latent prints, poor quality scans, and wet/dry finger conditions. Proven accuracy in high-security deployments with sub-second 1:1 matching.
Deep learning-powered face detection, landmark extraction, and feature encoding. Robust to lighting variations, pose changes, and aging. Multi-sample enrollment strategy for enhanced accuracy. Supports live capture, document photos, and surveillance imagery for versatile deployment scenarios.
Advanced iris segmentation with proprietary texture analysis. Industry-leading spoof detection and quality metrics. Handles challenging conditions including off-angle capture, occlusions, and contact lens interference. Optimized for both NIR and visible spectrum imaging systems.
Flexible deployment options and comprehensive developer tools for seamless integration into your existing infrastructure
High-throughput matching engine designed for standard computing platforms. GPU acceleration and multi-threaded processing for real-time 1:1 verification. Scales from embedded devices to data center clusters with consistent sub-second response times.
ISO/IEC 19794-compliant template generation ensures interoperability across vendors and systems. Proven algorithms with industry-leading accuracy. Support for industry standard formats including ANSI/INCITS and ISO/IEC biometric data interchange specifications.
Native libraries for Windows, Linux, macOS, iOS, and Android. Docker containers and Kubernetes support for cloud deployments. RESTful APIs and language bindings for Java, Python, C++, C#, and JavaScript for maximum flexibility.
Complete documentation with code samples and integration guides. Reference implementations and sample applications. Dedicated technical support team with biometrics expertise. Flexible licensing options tailored for enterprise and government deployments.
Advanced features designed for mission-critical biometric systems
Secure verification modes with configurable thresholds and score normalization
Real-time biometric quality scoring for enrollment validation and image acquisition feedback
Advanced anti-spoofing algorithms for face and iris modalities to prevent presentation attacks
Efficient encoding reduces storage requirements while maintaining matching accuracy
Encryption and tokenization support for privacy-preserving biometric authentication
High-throughput enrollment and matching with parallel job queuing and load balancing
Build next-generation identity verification systems with our proven biometric recognition engines. Our solutions team will discuss your technical requirements, integration approach, and licensing options tailored to your deployment scale.