When it comes to biometric security, accuracy is everything. So how does palm vein recognition stack up?
The short answer: extremely well — especially when using dual-mode technology like RGB + IR offered by X-Telcom’s Palm Vein Scanners.
🔍 What Makes Palm Vein Scanning So Accurate?
Palm vein recognition is based on scanning subdermal blood vessel patterns inside the hand — patterns that are:
- Uniquely different for every individual
- Unchanging over time
- Invisible to the naked eye (captured using near-infrared light)
This makes it one of the most secure and spoof-resistant biometric methods available today.
📊 Accuracy in Real-World Numbers
At X-Telcom, we run algorithmic tests against real-world, high-volume datasets. Here’s what our system achieves:
Biometric Mode | False Acceptance Rate (FAR) | False Rejection Rate (FRR) |
---|---|---|
Palm Print (RGB) | 1 in 1,000,000 (1e-6) | ✅ ~1.002% |
Palm Vein (IR) | 1 in 1,000,000 (1e-6) | ✅ ~1.52% |
🔐 But the real breakthrough comes from combining both modes:
For a match to be falsely accepted, both RGB and IR modalities must simultaneously fail.
The combined accuracy of our dual-mode system?
👉 1 in 100 billion
(That’s 0.00000000001 False Accept Rate)
💡 Why This Matters
In sectors like:
- Banking & Payments
- National ID Systems
- Healthcare Access
- Public Transport Authentication
…mistakes aren’t just inconvenient—they’re dangerous. That’s why relying on dual-mode palm recognition ensures the accuracy level required for bank-grade biometric infrastructure.
✅ Accuracy Built Into Our Hardware
X-Telcom’s flagship devices include:
-
XT-PalmVein 01 USB Palm Vein Reader
Compatible with Windows, Linux, Android systems -
XT-WavePass500 Android Palm Vein Scanner
Powered by Android 11, built for mobile and integrated payment terminals
Each uses RGB + IR imaging to extract both surface palm print and subcutaneous vein features — enabling lightning-fast comparison (as fast as 0.35s) across millions of IDs.
🔗 Want to Learn More?
We offer SDKs, integration documentation, and even remote server test environments for clients.