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In this paper, we propose an approach based on fractal dimension to automatically locate address blocks in postal envelopes. First, the fractal dimension of each pixel of a postal envelope image is computed using the 2D variation procedure. The K-means clustering technique is then used to label pixels as background, noise and semantic objects like stamps, postmarks, and address blocks. A database composed of 200 postal envelope images, with no fixed position for the address block, postmark anddoi:10.1109/sibgra.2004.1352948 dblp:conf/sibgrapi/EitererFM04 fatcat:wfaxkcdlfbf65bn6oj7reudwli