Mobile Device Text Area Capture via Image Segmentation
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Solution Overview
Problem
Current methods for capturing text areas on identification documents, such as machine-readable zones, are inefficient due to manual alignment requirements and increased recording time, especially in mobile device applications.
Innovation Solution
A mobile device equipped with an image camera and processor that captures and processes identification document images to segment, filter, and recognize text areas using techniques like Delaunay triangulation and optical character recognition, allowing for automatic detection and alignment correction without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual alignment of identification documents with mobile devices is performed, then text area capture accuracy is improved, but recording time increases and efficiency decreases
Solution Approach 1:
The system performs self-alignment by automatically detecting the document orientation and text area position through image processing algorithms. The mobile device captures the document image, segments it to identify text regions, and automatically adjusts the capture parameters without requiring manual user intervention for alignment, thus resolving the contradiction between accuracy and time consumption
Solution Approach 2:
The system performs preliminary image capture and analysis to detect document orientation and text area position before final processing. By pre-segmenting the image and identifying text regions in advance, the system prepares the data structure needed for accurate capture without requiring time-consuming manual alignment during the actual recording process
2Measurement precision
If manual actions are performed by user for text area capture, then alignment accuracy is improved, but productivity decreases
Solution Approach 1:
The system replaces manual mechanical alignment operations with automated image processing and computer vision algorithms. The processor automatically detects document boundaries, determines text area positions, and performs orientation correction through software-based image segmentation and analysis, eliminating the need for manual positioning while maintaining high accuracy
Solution Approach 2:
The system performs self-alignment by automatically detecting the document orientation and text area position through image processing algorithms. The mobile device captures the document image, segments it to identify text regions, and automatically adjusts the capture parameters without requiring manual user intervention for alignment, thus resolving the contradiction between accuracy and time consumption
3Stability of the object's composition
If stationary capture devices are used for text area recording, then capture stability is improved, but device mobility and operational flexibility are reduced
Solution Approach 1:
The system transitions from static stationary capture devices to dynamic mobile capture capabilities. The mobile device can be moved to different positions and angles while the image processing algorithms dynamically adjust to maintain stable and accurate text area capture, enabling both mobility and operational flexibility without sacrificing capture stability
Data Source
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AI summary
The invention relates to a mobile device (100) for capturing a text range on an identification document, wherein the text range has a plurality of text characters in a predetermined arrangement in accordance with a predetermined arrangement extent, having a photographic camera (101), which is designed to capture an image of the identification document in order to obtain a document image, and a processor (103), which is designed to segment the document image in order to obtain a plurality of image segments, to select a plurality of text character image segments from the plurality of image segments, wherein the text character image segments each represent a text character, to determine a plurality of text character groups on the basis of the plurality of text character image segments, wherein the text character groups each comprise a series of text character image segments, and to compare a plurality of arrangement extents for the plurality of text character groups with the predetermined arrangement extent in order to capture the text range on the identification document.