Palm Vein
Recognition

Palm vein recognition is a sophisticated biometric method that identifies individuals by mapping the unique vascular structure beneath the skin of their palm. Unlike visible identifiers, these subdermal vein patterns are extremely complex, deeply personal, and nearly impossible to counterfeit—making them a powerful and secure means of identity verification.

At Gekonova, we harness this technology to deliver highly accurate, non-invasive authentication across high-security environments and sensitive applications.

How Does Palm Vein Recognition Work?

Gekonova’s palm vein recognition system is powered by advanced algorithms and infrared imaging—offering a smarter, safer alternative to traditional biometric methods. Our solution is designed with privacy at its core: we do not capture or retain raw palm images.

Instead, the system uses near-infrared (NIR) light to penetrate the outer skin layers and illuminate the vein patterns beneath. Because deoxygenated hemoglobin in the blood absorbs NIR light, the veins appear as dark lines, forming a high-contrast, unique pattern that is invisible to the naked eye.

These internal vein structures are then extracted by Gekonova’s proprietary software and converted into a digital biometric template. The template is secured with AES-256 encryption, which transforms the data into a ciphered format that can only be decoded with the appropriate encryption key—ensuring total protection even if the data is intercepted.

This encrypted template can then be used for swift and accurate 1:1 (identity match) or 1:N (identity search) verification across various platforms—enabling contactless, hygienic, and secure biometric authentication.

Types of Palm Vein Sensors

Gekonova supports two primary palm vein sensor technologies, each tailored for specific use cases and performance needs:

  • Near-Infrared (NIR) Sensors
  • Hybrid NIR-Camera Sensors

Near-Infrared (NIR) Sensors

NIR sensors form the foundation of palm vein biometrics. These specialized devices emit a controlled beam of near-infrared light, which penetrates the skin and is absorbed by the veins. The remaining reflected light is captured by sensors to form a detailed image of the subcutaneous vein structure.

Due to their contactless nature and high reliability, NIR sensors are especially well-suited for hygiene-critical sectors such as healthcare, laboratories, or public-access terminals.

Hybrid NIR-Camera Sensors

Hybrid systems enhance the functionality of standard NIR sensors by integrating high-resolution cameras. These sensors capture not only vein patterns but also surface characteristics like hand shape or temperature variances—improving adaptability across different skin types and environmental conditions.

This dual-capture technology allows for higher precision and stronger authentication performance in dynamic scenarios, making hybrid sensors ideal for government, banking, and national infrastructure security.

All captured data is processed and encrypted using AES-256 protocols, guaranteeing uncompromised protection throughout the lifecycle of each authentication session.

Advantages of Qube Bio Palm Vein Recognition Technology

With years of experience in biometric R&D, Gekonova delivers reliable, future-ready palm vein recognition systems tailored for mission-critical needs. Our strengths include:

  • Complete Biometric Ecosystems: From modular hardware to turnkey integrated systems, we deliver scalable solutions that fit your infrastructure.
  • Infrared Imaging Expertise: Our precision vein detection algorithms offer outstanding accuracy—even in low-light or high-traffic environments.
  • Natural Anti-Spoofing: Because vein patterns are internal and require live blood flow, they cannot be forged or mimicked by external materials.
  • Global Confidence: Our technology is trusted by organizations worldwide across sectors like healthcare, fintech, and government.
  • Regulatory-Ready Encryption: With AES-256 encryption and alignment with GDPR, CCPA, LGPD, PDPA, and POPIA, we maintain a strong stance on data protection while enabling biometric innovation.