Facial Image Comparison for Document-Based Authentication
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Solution Overview
Problem
Existing user authentication systems rely on pre-stored user information, which can be insecure and inefficient, especially when users need to access systems without prior enrollment.
Innovation Solution
A method and system that perform authentication by capturing an image of a person's face alongside a document with their facial image, analyzing the images for a match, and granting authorization if they match, allowing for authentication without relying on pre-stored user data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pre-stored user information is used for authentication, then authentication can be performed, but security is compromised and efficiency is reduced
Solution Approach 1:
The system performs preliminary actions by capturing and processing the user's facial image in real-time during the authentication process, rather than relying on pre-stored data. The facial recognition algorithm extracts key features and compares them against the identification document image, enabling secure authentication without requiring prior enrollment or storage of sensitive user information.
2Productivity
If pre-stored user biometric data is stored for authentication, then authentication speed is improved, but system security is reduced
Solution Approach 1:
The system uses a copy of the user's facial image that is captured in real-time during authentication, rather than storing and reusing pre-captured biometric data. The identification document contains a stored facial image, and the system compares this with a newly captured facial image, allowing authentication to proceed at high speed without compromising security through data storage.
3Reliability
If facial image comparison is performed in real-time without pre-stored data, then security is enhanced, but additional processing time is required
Solution Approach 1:
The system replaces traditional mechanical authentication methods (such as passwords or pre-stored biometric databases) with an optical-based facial recognition system. By using image capturing devices and automated facial recognition algorithms, the system performs real-time comparison between the user's live facial image and the identification document image, achieving both security and efficiency through automated optical processing.
Data Source
AI summary
Computer systems and methods are provided for transmitting authorization information to an image capturing device. A computing system receives, from an image capturing device, captured image data that includes a first facial image and an image of a document that includes a second facial image. The first facial image and the second facial image are included a single image frame. The captured image data is analyzed to determine a first portion of the captured image data that corresponds to the first facial image and a second portion of the captured image data that corresponds to the second facial image. The first portion of the captured image data is compared with the second portion of the captured image data. In accordance with a determination that the first facial image and the second facial image meet matching criteria, authorization information is transmitted to the image capturing device.


