Credential Authentication Using Multi-Angle Optical Feature Analysis
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Solution Overview
Problem
Conventional authentication methods for physical credentials, such as identification documents, are susceptible to fraud due to reliance on single images of holographic features, leading to unreliable detection of inauthentic credentials.
Innovation Solution
Detecting physical characteristics of a credential by analyzing two or more orientations using a sensor and light source, determining optical characteristics of secure features, and comparing them to expected values based on known properties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional authentication techniques use a single image of the physical credential, then the authentication process is simple and fast, but the system becomes susceptible to fraud and produces unreliable detection
Solution Approach 1:
The patent transitions from analyzing a single 2D image to capturing and analyzing multiple images of the credential in different orientations (rotations). This dimensional expansion allows the system to detect optical characteristics of secure features across multiple angles, making it impossible for static photocopies or digital representations to replicate the dynamic optical behavior, thereby resolving the contradiction between reliability and complexity.
Solution Approach 2:
The system introduces dynamic analysis by capturing images of the credential at multiple orientations rather than relying on a static single image. The optical characteristics are measured across different rotational positions, creating a dynamic verification process that authentic credentials based on their physical optical properties rather than static visual appearance, thus improving reliability without excessive complexity.
2Reliability
If multiple orientations are used for detection, then the reliability of authentication is improved, but the time required for authentication increases
Solution Approach 1:
The system employs periodic action by capturing images at discrete, predetermined orientations (e.g., 0°, 45°, 90°, 135°) rather than continuous rotation. This periodic sampling approach provides sufficient optical characteristic data for reliable authentication while minimizing the number of captures needed, thus balancing detection reliability with authentication speed and reducing time loss.
3Measurement precision
If optical characteristics are measured from multiple orientations, then photocopies and digital representations are detected more accurately, but the measurement process becomes more complex
Solution Approach 1:
The system uses a universal measurement approach where the same optical characteristic measurement process is applied consistently across multiple orientations. By using identical measurement techniques and analysis methods for each orientation, the system achieves high measurement precision for detecting physical characteristics while avoiding the need for complex, orientation-specific measurement procedures, thus resolving the contradiction between precision and measurement difficulty.
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
Enhances the reliability of authentication by accurately distinguishing between authentic and inauthentic credentials, reducing susceptibility to photocopies and digital representations.
Implementation Method 1
determine an optical characteristic of the secure feature based on light reflected from the secure feature in both the first image and the second image
Data Source
AI summary
Aspects described herein may provide detection of a physical characteristic of a credential, thereby allowing for authentication of the credential. According to some aspects, these and other benefits may be achieved by detecting the physical characteristic with the credential. An image of a credential may be received. An optical characteristic of a secure feature of the credential may be determined. An expected optical characteristic of the secure feature may be determined based on known properties of the secure feature. A determination as to whether the credential is authentic may be based on a comparison of the determined optical characteristic of the secure feature to the expected optical characteristic of the secure feature.