Bi-chrome Image Quality Analysis Using Particle Metrics
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Solution Overview
Problem
The quality of digital bi-chrome signature confirmation images is often compromised by factors like movement, sunlight shadows, and tilted imaging angles, making real-time evaluation necessary to ensure image acceptability and validate new imaging processes, which is currently burdensome and subjective.
Innovation Solution
A method and system that evaluate bi-chrome digital images by analyzing contiguous pixels of specific colors, determining particle size and count, and applying predetermined objective criteria to assess image quality in real-time, rejecting poor images and validating imaging processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual evaluation of signature images is used, then subjective assessment can be performed, but the process becomes burdensome and time-consuming
Solution Approach 1:
The patent replaces manual visual inspection with an automated computer-based image analysis system that processes signature images through algorithms evaluating particle distribution, color ratios, and image characteristics, thereby eliminating time-consuming manual evaluation while maintaining or improving assessment accuracy
Solution Approach 2:
The system enables self-service evaluation where the image analysis automatically assesses signature quality without human intervention, allowing the process to evaluate images independently and efficiently
2Reliability
If real-time image evaluation is implemented, then poor quality images can be rejected immediately, but the system complexity increases
Solution Approach 1:
The patent performs preliminary evaluation of signature images at the point of capture, assessing image quality before final storage or processing, allowing immediate rejection of poor quality images and preventing downstream processing of inadequate data
Solution Approach 2:
The image analysis system divides the evaluation into distinct components including particle analysis, color ratio calculation, and characteristic assessment, making the complex evaluation process manageable through modular segmentation
3Measurement precision
If validation of imaging processes is performed manually, then subjective judgment can be applied, but evaluating large sets of images becomes burdensome
Solution Approach 1:
The patent replaces manual validation of imaging processes with automated computational analysis that consistently evaluates large volumes of images through standardized algorithms, dramatically increasing validation throughput while maintaining precise and objective assessment criteria
Data Source
AI summary
Methods and systems for evaluating an imager that produces bi-chrome images from a scanner or a digital imaging device, the bi-chrome images having pixels of a first and second color. In one embodiment, a method includes generating an image with a hand-held imaging device, the image having pixels of a first color and a second color, analyzing the image to determine information about particles of the first and second color contained in the image, each particle comprising contiguous pixels of the same color, the particle information comprising information on first and second color particle size and count, and determining if the image is unacceptable based on predetermined objective criteria and the particle information.