Invalid ID Detection via Visual Pattern Analysis
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Solution Overview
Problem
Existing systems fail to effectively identify and prevent the use of invalid or void identification documents during transactions, allowing users to submit such documents and potentially engage in fraudulent activities.
Innovation Solution
The system detects predetermined patterns on identification documents, such as holes forming specific words, using image analysis and machine learning techniques to determine if a document is invalid. This information is used to prevent the execution of transactions with invalid documents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional manual verification methods are used for identification documents, then operational simplicity is maintained, but reliability of detecting invalid documents deteriorates
Solution Approach 1:
The patent replaces manual visual inspection of identification documents with an automated image analysis system using machine learning models. The system captures images of identification documents and automatically detects invalidating marks such as holes, stamps, or text patterns that indicate document invalidation, thereby improving detection reliability while reducing human labor.
Solution Approach 2:
The patent creates a digital copy of the identification document through image capture and processing. The machine learning model analyzes this digital representation to detect invalidating marks, allowing for automated verification without handling the physical document, thus improving both reliability and operational efficiency.
2Measurement precision
If automated image analysis is implemented to detect invalidating marks, then detection precision improves, but device complexity increases
Solution Approach 1:
The patent segments the complex task of invalid document detection into distinct components: image capture, preprocessing to enhance mark visibility, feature extraction to identify invalidating mark characteristics, and classification to determine document validity. This segmentation allows each component to be optimized independently, improving overall detection precision while managing system complexity.
Solution Approach 2:
The patent implements preliminary processing steps including image enhancement, noise reduction, and contrast adjustment before the main detection algorithm is applied. These preliminary actions prepare the image data to highlight invalidating marks, improving detection precision while keeping the core algorithm relatively simple.
Data Source
AI summary
The method, system, and non-transitory computer-readable medium embodiments described herein provide for identifying invalid identification documents. In various embodiments, an application executing on a user device prompts the user device to transmit an image of the identification document. The application receives an image including the identification document in response to the identification document being within a field of view of a camera of the user device. The identification document includes a plurality of visual elements, and one or more visual elements of the plurality of visual elements are one or more invalidating marks. The application detects a predetermined pattern on the identification document in the image, the predetermined pattern formed from the one or more invalidating marks. The application determines that the identification document is invalid based on the detected predetermined pattern.