Image Recognition Using Mapped Identification Features
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Solution Overview
Problem
Current image recognition methods for remote authentication face challenges in accurately distinguishing between original and forged electronic certificates, leading to security threats due to low recognition accuracy and ease of counterfeiting.
Innovation Solution
The method involves mapping a recognition identifier onto a target object to form a recognition feature in the target image, which is then used to determine the attribute of the object based on a predetermined mapping relationship, enhancing recognition accuracy and preventing forged certificates from being used in authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional image recognition methods are used for remote authentication, then the authentication process can be completed remotely, but the recognition accuracy is low and forged certificates can be easily used
Solution Approach 1:
The patent applies preliminary action by mapping a recognition identifier onto the target object before image capture. This identifier serves as a pre-placed reference feature that will later be used to distinguish original from forged certificates during authentication, thereby improving recognition accuracy and security before the actual authentication occurs
Solution Approach 2:
The recognition identifier acts as an intermediary element between the authentication system and the target object. It provides a known reference feature that mediates the comparison process, enabling the system to accurately distinguish between original and forged certificates by comparing the identifier's appearance in the captured image against expected characteristics
2Measurement precision
If no recognition identifier is mapped onto the target object, then the authentication process is simpler, but the ability to distinguish original from forged certificates is insufficient
Solution Approach 1:
The patent segments the authentication process into distinct functional components: the recognition identifier mapping step, the image capture step, and the recognition decision step. This segmentation allows each component to be optimized independently, with the identifier serving as a simple visual element that doesn't significantly increase overall system complexity while substantially improving recognition capability
Data Source
AI summary
Implementations of the present specification disclose image recognition methods, apparatuses, and devices, and authentication methods, apparatuses, and devices. A solution includes the following: obtaining a target image of a target object, where before the target image is obtained, a recognition identifier is mapped onto the target object, and where the recognition identifier is used to form a corresponding recognition feature in the target image; and determining an attribute of the target object corresponding to the target image based on a predetermined mapping relationship and the recognition feature, where the mapping relationship includes a corresponding relationship between the recognition feature and the attribute of the target object.