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High Quality Content by WIKIPEDIA articles! Haar-like features are digital image features used in object recognition. They owe their name to their intuitive similarity with Haar wavelets. Historically, working with only image intensities (i.e., the RGB pixel values at each and every pixel of image) made the task computationally expensive. A publication by Papageorgiou et al. discussed working with an alternate feature set instead of the usual image intensities. This feature set considers rectangular regions of the image and sums up the pixels in this region. This sum is used to categorize images.