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Hi there,

I did a similar project to yourself. See this link for a good example of how to use FLANN matcher.

I suspect your main problem is your architecture, and that you should possibly store the keypoints/descriptors in a file or database for retrieval. Then you can try match 1 by 1 and sort by some sort of metric (this could be domain specific). You could sort by:

• Total number of matched points.
• You could assess the generated Homography matrix if you can implement some rules about how the image has projected or transformed.

In my project, I saved the image, keypoints, descriptors and the name of the image, in a database (SQLite). This seemed to work very well. It also helps identify which image you are using.

This should help you get accurate results.