Authenticity Determination via Block Value Correction
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Solution Overview
Problem
Conventional authenticity determining methods for paper sheets, especially low-contrast images, face challenges in accuracy due to data dispersion during normalization, leading to increased processing loads and incorrect authenticity determinations.
Innovation Solution
An authenticity determining apparatus and method that acquires image data from paper sheets, divides it into blocks, calculates and corrects block values to match a predetermined reference value, and determines authenticity based on whether these corrected values fall within a defined numerical range, thereby reducing the impact of offsets and improving accuracy for low-contrast images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If normalization technique is applied to low-contrast image data, then processing load is reduced, but data dispersion is emphasized leading to decreased measurement precision
Solution Approach 1:
The patent divides the image data into multiple blocks and calculates representative values for each block. This segmentation allows processing to be performed on block-level data rather than individual pixel data, reducing processing load while maintaining measurement precision through statistical aggregation within each block.
Solution Approach 2:
The patent introduces a correction coefficient that is calculated based on the average block value and used to correct individual block values. This parameter change transforms the raw block values into corrected values that compensate for data dispersion, thereby maintaining measurement precision after normalization.
2Measurement precision
If numerical range is narrowed for low-contrast images, then authenticity determination accuracy is improved, but offset values cause feature values to fall outside the range leading to false negatives
Solution Approach 1:
The patent calculates a correction coefficient based on the average block value and applies it to correct individual block values. This feedback mechanism ensures that the corrected feature values are adjusted to fall within the expected numerical range, preventing false negatives while maintaining narrow range constraints for accuracy.
Solution Approach 2:
The patent transforms the feature values by applying a correction coefficient that is derived from the average block value. This parameter change adjusts the distribution of corrected block values to align with the predetermined numerical range, ensuring both accuracy and reliability in authenticity determination.
3Difficulty of detecting and measuring
If microfilter is used to detect low-contrast image areas, then feature extraction capability is improved, but processing load increases significantly
Solution Approach 1:
The patent segments the image into blocks and calculates representative values for each block. This segmentation provides a simplified representation that captures low-contrast features through statistical measures (average and standard deviation of pixel values within blocks) without requiring complex microfilter operations, thereby reducing processing load while maintaining detection capability.
Solution Approach 2:
The patent replaces the mechanical filtering operation of microfilters with a computational approach using block-based statistical analysis. By calculating average and standard deviation values for each block, the system achieves low-contrast feature detection through mathematical operations rather than physical filtering, reducing processing complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The method effectively determines the authenticity of paper sheets with high accuracy at a lower cost by correcting block values to match a reference, reducing processing load and minimizing errors associated with data dispersion in low-contrast images.
Implementation Method 1
acquires image data on an image of a paper sheet based on a reflected light from the paper sheet irradiated with an infrared light
Data Source
AI summary
In an authenticity determining apparatus, an image-data acquiring unit acquires image data of a paper sheet; a block-value calculating unit divides the image data into a plurality of blocks each composed of a plurality of pixels and calculates a block value of each of blocks; an average-block-value calculating unit calculates an average block value of blocks composing a predetermined area of the image data; a correction-block-value calculating unit calculates a corrected block value of each of the blocks by correcting each of the block values so that the average block value is equal to a predetermined reference value; and an authenticity determining unit that determines authenticity of the paper sheet based on whether each of corrected block values of the blocks composing the predetermined area is within a predetermined allowable numerical range that is preliminarily defined for the predetermined area.