Multicolor Fingerprint Recognition Using Segmented Light Sources
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Solution Overview
Problem
Fingerprint recognition technologies face challenges in distinguishing real from fake fingerprints, as counterfeit fingerprints made of materials like silica gel can mimic feature points and sweat glands, leading to incorrect recognition results.
Innovation Solution
A real/fake fingerprint recognition system utilizing a light source to provide different color lights (e.g., green and red) and a processor to establish images based on reflected light, determining whether a fingerprint is real by analyzing the distinct features and defects visible under these lights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If single-color light fingerprint recognition is used, then the device structure is simple, but fake fingerprints made of materials like silica gel can mimic real fingerprints leading to incorrect recognition
Solution Approach 1:
The light source is segmented into multiple independent light-emitting units, each emitting a different color of light. This allows the system to use multiple wavelengths for fingerprint verification while maintaining a relatively simple overall structure. Each light-emitting unit can be independently controlled to illuminate the fingerprint with specific wavelengths that reveal different characteristics of real versus fake fingerprints.
Solution Approach 2:
The system changes the wavelength parameter of the illuminating light by using multiple color lights. Different wavelengths interact differently with the materials comprising real and fake fingerprints, allowing the detector to capture distinct reflectance patterns. This parameter variation enables the system to distinguish between authentic and counterfeit fingerprints without requiring complex structural modifications.
2Measurement precision
If multiple color lights are used to distinguish real and fake fingerprints, then recognition accuracy is improved, but the device complexity increases
Solution Approach 1:
The detector is divided into multiple detecting units, each corresponding to a specific color light source. This segmentation allows each detector unit to specialize in capturing reflectance information at particular wavelengths, improving measurement precision while keeping the overall system manageable. The processor then integrates information from these segmented detector units to make the final authentication decision.
Solution Approach 2:
The processor is designed with multi-functional capabilities to handle data from multiple light sources and detector units. It performs various functions including data integration, pattern recognition, and comparison against stored templates. This universal processing approach allows the system to achieve high verification precision without proportionally increasing hardware complexity, as the same processor handles multiple functions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Effectively differentiates between real and fake fingerprints by identifying blood vessels and red blood cells using green light and recognizing defects in silica gel fake fingerprints through red light reflection, enhancing recognition accuracy.
Implementation Method 1
The light source is configured to provide a first color light and a second color light to a fingerprint. The detector is configured to receive a first reflect light corresponding to the first color light, and receive a second reflect light corresponding to the second color light.
Data Source
AI summary
A real/fake fingerprint recognition device includes a light source, a detector, and a processor. The light source is configured to provide a first color light and a second color light to a fingerprint. The detector is configured to receive a first reflect light corresponding to the first color light, and receive a second reflect light corresponding to the second color light. The processor is configured to establish a first image and a second image according to the first reflect light and the second reflect light respectively, and determine whether the fingerprint is a real fingerprint according to the first image and the second image.