image-duplication-detector

name	image-duplication-detector
description	Detect image duplication and tampering in manuscript figures using computer vision algorithms
version	1.0.0
category	Integrity
tags	[]
author	AIPOCH
license	MIT
status	Draft
risk_level	Medium
skill_type	Tool/Script
owner	AIPOCH
reviewer
last_updated	2026-02-06

Image Duplication Detector

ID: 195

Description

Uses Computer Vision (CV) algorithms to scan all images in paper manuscripts to detect potential duplication or local tampering (PS traces).

Usage

# Scan single PDF file
python scripts/main.py --input paper.pdf --output report.json

# Scan image folder
python scripts/main.py --input ./images/ --output report.json

# Specify similarity threshold (default 0.85)
python scripts/main.py --input paper.pdf --threshold 0.90 --output report.json

# Enable tampering detection
python scripts/main.py --input paper.pdf --detect-tampering --output report.json

# Generate visualization report
python scripts/main.py --input paper.pdf --visualize --output report.json

Parameters

Parameter	Type	Default	Required	Description
--input	string	-	Yes	Input PDF file or image folder path
--output	string	report.json	No	Output report path
--threshold	float	0.85	No	Similarity threshold (0-1), higher is stricter
--detect-tampering	flag	false	No	Enable tampering/PS trace detection
--visualize	flag	false	No	Generate visualization comparison images
--temp-dir	string	./temp	No	Temporary file directory

Output Format

{
  "summary": {
    "total_images": 12,
    "duplicates_found"