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Asked: 2026-05-28T17:29:14+00:00

I am just doing some research into image processing and would appreciate it if

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I am just doing some research into image processing and would appreciate it if someone could point me in the right direction. I want to compare image ‘A’ which is a picture of a person’s face with image’s stored in a database -B,C,D,E .. etc which are also pictures of faces. I want to compare them to see if the person ‘A’ is already in the database.

Several questions :

1.How is face recognition comparison usually done? (do you extract features e.g. eyes/mouth and compare them to other images?).
2. Are there prebuilt libraries that are able to do a comparison between images? or do i need to write my own algorithm?
3. Where can i start with this? (would appreciate some references/reading material).

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1 Answer

  1. Editorial Team

    I would go with compiling openCV for the iPhone ( http://computer-vision-talks.com/2011/02/building-opencv-for-iphone-in-one-click/ ), and then implementing one of the classical ways to do face recognition like eigenfaces ( http://www.shervinemami.info/faceRecognition.html )

    But don’t expect miracles the accuracy will be low, and the app will be slow.

    Also when you say face recognition is difficult doesn’t the first link show how easy it is to detect faces on a picture?

    The face detection from the first link is just to detect the face. It is just to see if there is a face in the image, which then you can pass as input to the recognition algorithm.

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