Adaptive Thresholding for Portable Document Imagery Analysis
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Solution Overview
Problem
Conventional document readers are expensive and bulky, making them unsuitable for low-cost, lightweight applications in detecting and analyzing machine-readable documents.
Innovation Solution
A portable document reader apparatus that includes an image data acquisition means, an image data conversion means, and an adaptive thresholding means to detect and analyze imagery within a machine-readable zone, utilizing an imager, aimer, lens, processor, and adaptive thresholding algorithm to convert grayscale images into bi-tonal frames for enhanced binary contrast.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional document readers are used to capture and scan machine-readable documents, then detection and analysis functionality is achieved, but the device becomes expensive and bulky
Solution Approach 1:
The conventional document reader is divided into three functional segments: image data acquisition means (imager), image data conversion means (processor performing grayscale conversion), and adaptive thresholding means (processor performing binary conversion). This segmentation allows each component to be optimized independently, enabling the system to achieve full document reading functionality while using lighter, more compact components than a traditional integrated document reader.
2Reliability
If conventional document readers are used to capture and scan machine-readable documents, then detection and analysis functionality is achieved, but the device becomes expensive
Solution Approach 1:
The patent replaces complex mechanical document reader systems with a streamlined digital processing system. Instead of using traditional mechanical scanners and readers, the invention uses an imager to capture image data, which is then processed through grayscale conversion and adaptive thresholding algorithms to extract machine-readable information. This substitution of mechanical systems with digital processing reduces manufacturing costs while maintaining detection and analysis functionality.
3Measurement precision
If grayscale image conversion is performed followed by adaptive thresholding, then binary contrast is enhanced for machine-readable data detection, but processing complexity increases
Solution Approach 1:
The patent applies parameter changes through a two-stage processing approach: first converting image data to grayscale (changing the luminance parameter representation), then applying adaptive thresholding (changing the intensity parameter to binary values). This systematic parameter transformation enhances the contrast of machine-readable data by progressively simplifying the image data from full grayscale to binary, making the detection process more precise while keeping the processing steps methodical and manageable.
Data Source
AI summary
An apparatus and method for detecting and analyzing imagery, wherein the apparatus includes an image data acquisition means, an image data conversion means, and an adaptive thresholding means. The image data acquisition means acquires image data from a document. The acquired image data is converted into a grayscale image frame by the image data conversion means. In addition, the adaptive thresholding means converts the grayscale image frame into a bi-tonal frame.