Certificate Verification Using Multi-Angle Light Reflection
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Solution Overview
Problem
The existing methods for Know Your Customer (KYC) electronic real-name authentication are vulnerable to forged identity certificates, as the photographing process is not effectively monitored, allowing attackers to deceive the authentication process by using forged physical or electronic certificates.
Innovation Solution
A method and apparatus for certificate verification that acquire at least two images of a certificate under different acquisition conditions, utilizing the light-reflecting characteristic of the certificate's coating to determine the authenticity of the certificate, thereby distinguishing between original and forged certificates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional image acquisition methods are used for certificate verification, then the process is simple and fast, but the verification accuracy is low and vulnerable to forged certificates
Solution Approach 1:
The patent segments the verification process into multiple independent image acquisition steps under different acquisition conditions (different angles, lighting, distances). Each image captures specific features of the certificate, and the system analyzes these segmented views to determine authenticity, thereby improving verification accuracy without requiring a single complex acquisition system
Solution Approach 2:
The patent introduces multiple dimensions of acquisition conditions (angular position, lighting conditions, distance from camera) to capture the certificate. By acquiring images from different dimensions and perspectives, the system creates a comprehensive feature set that makes forged certificates detectable, thus improving verification accuracy while maintaining operational simplicity
2Reliability
If multiple images are acquired under different conditions to improve verification accuracy, then the authentication reliability improves, but the time consumption increases
Solution Approach 1:
The patent performs preliminary actions by acquiring multiple images under different conditions before the actual verification decision is made. These pre-acquired images are stored and analyzed in parallel, allowing the system to quickly determine authenticity without requiring time-consuming real-time analysis during the verification decision point
Solution Approach 2:
The patent ensures continuity of useful action by continuously acquiring and analyzing image features in parallel. Multiple images are captured simultaneously under different conditions, and their analysis proceeds concurrently, maintaining continuous verification progress without idle time, thus improving reliability while minimizing total verification time
3Ease of operation
If the photographing process is not monitored, then the operation is convenient for users, but security vulnerabilities arise allowing forged certificates to pass verification
Solution Approach 1:
The patent implements self-service by having the system automatically analyze the acquired images for authentication features without requiring manual monitoring or intervention. The system independently evaluates the certificate images, extracts features, and determines authenticity, thereby maintaining user convenience while eliminating security vulnerabilities associated with unmonitored photographing processes
Solution Approach 2:
The patent replaces manual monitoring mechanisms with automated image analysis systems. Instead of requiring human operators to monitor the photographing process, the system uses computational methods to automatically detect authentication features and identify forged certificates, thus maintaining ease of operation while eliminating security vulnerabilities
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
This approach enhances the efficiency and accuracy of certificate verification by identifying the probability of the certificate being original, preventing deception from forged certificates and improving authentication efficiency.
Implementation Method 1
the coating feature includes an image feature of a light-reflecting characteristic of a coating of the to-be-verified certificate
Data Source
AI summary
A computer-implemented certificate verification method includes: obtaining, by a certificate verification module, at least two images of a certificate, in which the at least two images are acquired under different acquisition conditions; obtaining, from the at least two images, at least two target images that correspond to respective images of the at least two images and that each include an image of a light-reflective coating of the certificate; and determining, based on the at least two target images, a probability that the certificate is an original.