Document Image Capture Geometric Correction and Processing
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Solution Overview
Problem
Existing technologies face challenges in accurately capturing and processing document images, particularly due to issues with uneven lighting, skewing, and the effectiveness of optical character recognition, which affects the quality of image transmission and data extraction.
Innovation Solution
The system optimizes image capture by using on-device software for real-time feedback, geometric correction, and iterative testing processes to enhance image quality, allowing for better alignment, cropping, and conversion to black and white, while also transmitting color images for further analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a photograph is taken of a document using a mobile device camera, then the document image can be transmitted for processing, but the image quality may be degraded due to uneven lighting, skewing, and other capture issues
Solution Approach 1:
The system performs preliminary actions by detecting document corners and edges, calculating perspective transformation matrices, and applying geometric corrections to the image before transmission. This includes cropping the document region of interest and adjusting the image to correct skewing and perspective distortion, ensuring high image quality is achieved prior to transmission to the server.
Solution Approach 2:
The system provides feedback to the user by displaying processed images with corrected geometry and quality enhancements. The user can review the processed image and request re-capture if necessary, creating a feedback loop that ensures satisfactory image quality before proceeding to transmission and processing.
2Measurement precision
If the image is processed and corrected on the device before transmission, then image quality improves, but device complexity increases
Solution Approach 1:
The mobile device performs self-service by incorporating image processing capabilities directly into the device. The device detects its own document corners, calculates perspective transformations, crops the document region, and applies geometric corrections using built-in processors and algorithms, eliminating the need for complex external processing systems.
Solution Approach 2:
The system replaces complex mechanical image correction processes with computational geometry algorithms. Instead of physical adjustments during capture, the system uses digital image processing, perspective transformation matrices, and pixel-level manipulations to correct geometric distortions and enhance image quality.
3Measurement precision
If multiple images are transmitted for analysis including color and black and white versions, then data extraction accuracy improves, but transmission time and data volume increase
Solution Approach 1:
The system segments the image processing by creating separate color and black-and-white versions of the processed document image. Each version serves specific purposes: the color image provides original detail and context, while the black-and-white image optimizes for text recognition and data extraction. This segmentation allows both formats to be processed independently and efficiently.
Solution Approach 2:
The system changes image parameters by converting the color image to black and white through thresholding and contrast adjustment, optimizing the image for specific processing tasks. The color image maintains original parameters for reference, while the monochrome version has adjusted parameters (contrast, brightness) optimized for data extraction algorithms.
4Measurement precision
If real-time feedback is provided to the user during image capture, then image quality improves, but processing speed decreases
Solution Approach 1:
The system performs preliminary image processing actions including corner detection, perspective transformation calculation, and geometric correction during the capture phase. By completing these computationally intensive tasks before transmission, the system provides immediate visual feedback to the user while preparing the optimized image data for subsequent transmission and processing.
Data Source
AI summary
The present invention relates to the automated processing of documents and, more specifically, to methods and systems for aligning, capturing and processing document images using mobile and desktop devices. In accordance with various embodiments, methods and systems for document image alignment, capture, transmission, and verification are provided such that accurate data capture is optimized. These methods and systems may comprise capturing an image on a mobile or stationary device, converting the color image into a black and white image, testing the accuracy of the image captured and transmitted, and processing the image for data extraction. Additionally, these may comprise aiding the user in capturing the image, providing geometric correction of document images, converting the image to black and white, transmitting both the images to a server, optimizing image size, analyzing images using iterative and weighting procedures, and comparing data the images to maximize data capture confidence.