Biometric Sensor Multi-Wavelength Spoofing Detection

The patent applies parameter changes by using multiple light sources with different wavelengths (e.g., UV, visible, infrared) to illuminate the fingerprint. Each wavelength interacts differently with human skin versus spoofing materials, creating distinct reflectance patterns. The sensor captures images at multiple wavelengths and compares these spectral signatures to authenticate whether the fingerprint is from real human skin or a counterfeit material, thereby improving authentication accuracy through physical parameter variation.

The patent transitions from spatial resolution alone to spectral resolution by introducing multiple wavelength dimensions. Instead of relying solely on a large sensor area to capture sufficient fingerprint detail, the system uses spectral information across different wavelengths to enhance authentication capability. This dimensional shift allows a smaller sensor to achieve comparable or superior authentication performance by exploiting the spectral differences between human skin and spoofing materials rather than depending purely on spatial coverage.

The patent segments the illumination function into multiple specialized light sources, each emitting at a specific wavelength range optimized for detecting different properties of human skin versus spoofing materials. This segmentation allows the system to target specific spectral characteristics that differentiate authentic fingerprints from counterfeits. By dividing the illumination task across multiple wavelength-specific sources rather than using a single broad-spectrum source, the system achieves superior spoofing detection while maintaining manageable manufacturing complexity through modular component selection.