UV Imaging for Identification Tampering Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Automated systems struggle to detect tampering with identification documents, such as driver's licenses and passports, where the original photo is obscured, as they cannot differentiate between the original and altered images.
Innovation Solution
The use of ultra-violet (UV) light to create a brightness fingerprint of the identification document, comparing the brightness values of specific regions to determine if the document has been tampered with, by either generating a model brightness fingerprint based on known valid documents or using a critical value for comparison.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional imaging systems are used to verify identification documents, then the system is simple and easy to operate, but the system cannot detect tampering where photos are obscured or replaced
Solution Approach 1:
The patent introduces UV light as an intermediary substance to illuminate the identification document. This UV illumination reveals fluorescent features and security elements that are invisible under normal lighting, enabling the detection of tampering without requiring complex mechanical or chemical analysis devices.
Solution Approach 2:
The patent replaces traditional mechanical or visual inspection methods with optical imaging using UV light. Instead of manually examining documents or using complex mechanical verification systems, the solution uses UV illumination combined with image processing algorithms to automatically detect tampering, simplifying the physical system while enhancing detection capability.
2Reliability
If UV light imaging is implemented to detect tampering, then the reliability of identity verification improves, but the use of energy and complexity of the system increases
Solution Approach 1:
The system uses periodic or pulsed UV illumination rather than continuous lighting. The UV light source is activated only when an identification document is presented for verification, and the imaging process occurs during this brief illumination period. This periodic action significantly reduces energy consumption compared to continuous UV lighting while maintaining detection reliability.
Solution Approach 2:
The system applies UV illumination selectively only to the identification document being verified, rather than illuminating the entire environment. The UV light is focused on the specific region of interest (the ID card or passport), minimizing unnecessary energy expenditure while ensuring sufficient illumination for accurate imaging and tampering detection.
3Measurement precision
If UV imaging with brightness fingerprinting is used, then the precision of tampering detection improves, but the difficulty of detecting and measuring increases
Solution Approach 1:
The system creates a brightness fingerprint profile from the UV image of the identification document and automatically compares it against stored reference profiles or expected patterns. The algorithm independently analyzes brightness distributions, identifies anomalies, and determines tampering status without requiring manual intervention or complex external measurement equipment, simplifying the overall detection process.
Solution Approach 2:
The system transforms the visual information from UV images into quantitative brightness parameters and fingerprint profiles. By converting qualitative visual inspection into quantitative measurements of brightness distribution, the system enables precise automated comparison and detection. This parameter transformation simplifies the measurement process while maintaining high precision in tampering detection.
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 detects tampering by differentiating between non-tampered and tampered documents, ensuring accurate identity verification and preventing unauthorized access to restricted goods and services.
Implementation Method 1
determine a brightness fingerprint for a target identification by imaging the target identification under UV light
Data Source
Figure 1A~1B
Figure 2A~2B
Figure 3
AI summary
Implementations of the present disclosure include applying UV light to a first target identification, generating a first UV image of the first target identification, and determining that a model brightness fingerprint is unavailable for the first target identification, and in response: calculating a region brightness value for a particular region of the first target identification based on the first UV image, calculating an identification brightness value for the first target identification based on the first UV image, and comparing the region brightness value to the identification brightness value to determine whether the first target identification has been tampered with.