问题:

The end goal would be to see if

contains

the compare needs to support minor distortion, scaling, color differences, rotation, and brightness differences.

it can be in any language really. i will be running this algorithm as a webservice so its no problem if i have to write this portion in c, c++, python, etc.

回答1:

You should probably take a look at OpenCV and VLfeat.

回答2:

Object detection can be performed for example using

Rapidminer IMMI (image mining extension for one of the leading open-source data-mining platform)
BoofCV (using SURF feature detection)

回答3:

How about ImageMagick? Its not a library per se however if you can provide shell access to your environment its pretty easy to use.

You would most probably be interested in the compare command.

EDIT: ImageMagick does contain tools for sub-image search like subimage-search.

回答4:

Look at this - http://gallery.azureml.net/MachineLearningAPI/02ce55bbc0ab4fea9422fe019995c02f - it supports OCR. This also supports multiple languages and distortion - http://www.projectoxford.ai/doc/vision/OCR