Palm Print/Vein SDK

1. Dual Biometric Feature Fusion for Higher Security

Integrates both palmprint (epidermal texture features) and palm vein (subcutaneous vascular texture features) recognition. Palm vein is an internal living-body feature that cannot be cracked by copying or forgery (such as silicone molds). Palmprint improves recognition accuracy. Compared with single fingerprint or face unlocking, dual-feature fusion enhances anti-attack capability by more than 80%, and the False Acceptance Rate (FAR) can be as low as below 10⁻⁶.

2. Windows Ecosystem Adaptation for Excellent Usability

Provides standard Windows API interfaces, aligning with the usage habits of Windows developers;

Compatible with the hardware adaptation layer of Windows systems, and can connect to palmprint and palm vein collectors with USB/serial ports without additional development of hardware driver adaptation logic;

Provides sample projects that can be directly compiled and run by beginners for quick function verification.

3. High Performance & Low Resource Consumption

The algorithm is optimized for Windows systems. Feature extraction and comparison take ≤ 300ms (per palmprint and palm vein image), with memory consumption ≤ 50MB. It can run stably on low-profile Windows industrial computers, self-service terminals and other devices without obvious lag.

4. Liveness Detection & Anti-Interference Capability

Built-in liveness detection algorithm that can identify spoofing attacks such as photos, videos and fake hands. It also supports preprocessing of captured images with blurring, uneven lighting, slight hand shaking and other conditions to ensure recognition stability in complex environments.

5. Flexible Deployment & Management Capabilities

Supports local offline comparison (feature database stored locally on Windows terminals) and networked comparison (connected to server-side feature database). Recognition thresholds can be configured (e.g., passing when similarity ≥ 90%). A log interface is provided for Windows applications to record recognition results and troubleshoot issues.

1. Addressing Pain Points of Traditional Authentication Methods

Solves drawbacks of traditional verification methods such as passwords, card swiping, and fingerprints in Windows systems/applications: passwords are prone to leakage/forgetfulness, cards are easy to copy, and fingerprints are vulnerable to forgery. Palmprint and palm vein are living biometric features, fundamentally enhancing the security of identity verification.

2. Lowering the Threshold for Biometric Recognition Development on Windows

Developers do not need to master underlying palmprint and palm vein algorithms (e.g., feature point extraction, pattern matching, liveness detection). The SDK encapsulates all core logic; simply call simple interfaces such as "capture", "match", and "enroll" to quickly integrate functions, greatly shortening the development cycle from months to days.

3. Adapting to Diverse Windows Scenario Requirements

Solves recognition adaptation issues across different Windows scenarios:

Industrial PCs / Industrial Terminals: Adapts to Windows Embedded systems, meeting employee identity verification and equipment operation authority control in industrial scenarios;

Government & Enterprise Desktop Terminals: Enables identity verification for Windows system login and access to classified software, complying with classified protection compliance requirements;

Self-service Terminals (e.g., Government/Finance): Completes user identity verification on Windows self-service machines, improving efficiency and security.

4. Resolving Stability and Compatibility Issues in Biometric Recognition

The SDK is fully compatible with diverse Windows hardware (different brands of collectors, terminals with various configurations), avoiding recognition failures caused by differences in hardware drivers or system versions. Meanwhile, algorithm optimization resolves unstable recognition caused by dry/wet hands, deviated capture angles, and other issues.