Similie is a simple DCT based image hashing interface that,

• computes a fingerprint based on low frequencies of an image.

• computes hamming distance between 2 fingerprints.

require 'similie'

img1 = Similie.new("test/lena1.png")
img2 = Similie.new("test/lena2.png") # lena1.png cropped and scaled
img3 = Similie.new("test/lena5.png") # a different image

img1.fingerprint #=> 64bit int

img1.distance(img2) #=> 2
img1.distance(img5) #=> 12

# class methods, if you want to deallocate image buffers immediately.
Similie.distance("test/lena1.png", "test/lena5.png") #=> 12
Similie.fingerprint("test/lena1.png")

# utility method that exposes hamming distance http://en.wikipedia.org/wiki/Hamming_weight
Similie.popcount(0x03 ^ 0x08) #=> 3

• ruby 1.9.1+

• opencv 2.1+ (libcv-dev and libhighgui-dev on debian systems)

pHash - The open source perceptual hash library

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