Camera Parameter Adjustment for Glare-Free Document Recognition
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Solution Overview
Problem
Scanned images of documents often include light reflecting regions, leading to unclear parts in recognition results due to light reflection during the scanning process.
Innovation Solution
Adjust shooting parameters such as aperture and focus to reduce or eliminate light reflection in collected images, and collect a second image without light reflection to improve recognition accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If scanning recognition is used to convert physical documents into electronic documents, then conversion efficiency is improved, but light reflecting regions cause unclear parts in recognition results
Solution Approach 1:
The patent adjusts camera shooting parameters (aperture, focus, exposure time, gain) to optimize image quality and reduce light reflection effects. By dynamically changing these parameters based on detected light reflection conditions, the system maintains both high conversion efficiency and accurate recognition results.
Solution Approach 2:
The patent introduces an image processing system that acts as an intermediary between the camera and recognition engine. This intermediary processes images to reduce light reflection effects before recognition, thereby improving accuracy without sacrificing conversion efficiency.
2Measurement precision
If shooting parameters are adjusted to reduce light reflection, then recognition accuracy is improved, but additional processing time is required
Solution Approach 1:
The patent performs preliminary detection of light reflecting regions in the captured image, then selectively adjusts shooting parameters only for affected areas. This preliminary action approach minimizes unnecessary re-shooting and processing time while still improving recognition accuracy where needed.
Solution Approach 2:
The patent applies parameter adjustments and image processing only to regions with light reflection problems rather than processing the entire image uniformly. This partial action approach reduces overall processing time while maintaining accuracy in critical areas.
Data Source
AI summary
A recognition method and apparatus, and an electronic device are provided. The recognition method includes: adjusting shooting parameters of a camera in a case that a collected first image includes a light reflecting region, where the shooting parameters include at least one of an aperture and a focus; collecting a second image according to adjusted shooting parameters; and recognizing the target image to obtain a corresponding recognition result, where the target image includes the second image, or the target image is obtained based on the first image and the second image.