Authenticity Determination Using Feature Point Geometric Similarity

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Solution Overview

Problem

Current methods for authenticating tablets, especially when dealing with a large number of genuine images, are inefficient due to the high computational burden of calculating correlation values between all genuine and target images, leading to slow determination processes.

Innovation Solution

An authenticity determination system that uses a feature point registration apparatus to extract and store feature points from genuine product images and a matching determination apparatus to calculate the similarity between authenticity verification product images and genuine product images using geometric characteristics of extracted feature points, allowing for high-speed authenticity verification.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If all genuine tablet images are subjected to processing one by one and correlation values are calculated between all genuine tablet images and a target tablet image, then the authenticity determination accuracy is improved, but the processing time increases significantly

Engineering Contradiction:
Improveauthenticity determination accuracyVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent divides the image comparison process into two stages: first extracting feature points from images, then calculating correlation values only for images containing matching feature points. This segmentation reduces the number of full image comparisons needed while maintaining determination accuracy.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent performs preliminary feature point extraction from all genuine tablet images before the actual authenticity determination. This preliminary action creates an index of feature points that enables rapid filtering of candidate images, avoiding the need to process all images in detail during the determination phase.

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If correlation values are calculated between all genuine tablet images and a target tablet image, then the determination accuracy is improved, but the computational burden increases greatly

Engineering Contradiction:
Improvedetermination accuracyVSAvoidcomputational burden
Core Design Contradiction:
Measurement precisionVSPower

Solution Approach 1:

The patent extracts feature points from images as a separate, preliminary step. By taking out the feature point extraction process from the main correlation calculation workflow, the system reduces the computational burden of the determination phase while preserving accuracy through subsequent feature-based filtering.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent performs partial processing by calculating correlation values only for images that contain matching feature points, rather than processing all images equally. This partial action approach reduces computational burden while maintaining sufficient accuracy for the determination task.

Inventive Principle:
Principle #16Partial or excessive action

3Productivity

If feature points are extracted and stored for genuine product images, then the authenticity verification speed is improved, but the device complexity increases

Engineering Contradiction:
Improveverification speedVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent creates a simplified representation (copy) of the genuine product images by extracting and storing only the essential feature points. This copying approach enables rapid verification by comparing feature point patterns rather than processing full images, improving speed while managing complexity through data reduction.

Inventive Principle:
Principle #26Copying

Data Source

PatentUS10083371B2Authenticity determination system, feature point registration apparatus and method of controlling operation of same, and matching determination apparatus and method of controlling operation of same
Publication Date: 2018.09.25 FUJIFILM CORP
  • US10083371B2 patent drawing
  • US10083371B2 patent drawing
  • US10083371B2 patent drawing

AI summary

A feature point is a point at which a correlation value is greater than a threshold value, wherein the correlation value is calculated between a template and partial image within an area that is one portion of each genuine tablet image. With regard to a cross-check image, which represents a tablet the authenticity of which is to be verified, a correlation value is calculated between a partial image within an area that is one portion of the cross-check image and the template image, and multiple feature points of the cross-check image at which the calculated correlation value is greater than a predetermined threshold value are extracted. The degree of similarity between the cross-check image and the genuine tablet image is calculated using a geometric characteristic of the extracted multiple feature points and a geometric characteristic of the stored multiple feature points of the genuine tablet image.