Perceptual hashing topic
Perceptual hashing is the use of an algorithm that attempts to fingerprint multimedia for identification and comparison. Perceptual hashes of two similar multimedia should be similar.
dhash-vips
vips-powered ruby gem to measure images similarity, implementing dHash and IDHash algorithms
findimagedupes
Find visually similar or duplicate images. This repository has migrated to https://gitlab.com/opennota/findimagedupes
dhash
Python library to calculate the difference hash (perceptual hash) for a given image, useful for detecting duplicates
fast-near-duplicate-image-search
Fast Near-Duplicate Image Search and Delete using pHash, t-SNE and KDTree.
imgdupes
Identifying and removing near-duplicate images using perceptual hashing.
pHash
pHash - the open source perceptual hash library
neuralhash-collisions
A catalog of naturally occurring images whose Apple NeuralHash is identical.
imgsim
Golang library for computing perceptual hashes of images
image-deduplication-tool
Tool to detect (and get rid of) similar images using perceptual hashing (pHash lib)
image_compare
Dart package for comparing images. Find the difference between two images by using a variety of image comparison techniques.