Abstract
In this paper, an approach based on lacunarity to locate address blocks in postal envelopes is proposed. After computing the lacunarity of a postal envelope image, a non-linear transformation is applied on it. A thresholding technique is then used to generate evidences. Finally, a region growing is applied to reconstruct semantic objects like stamps, postmarks, and address blocks. Very little a priori knowledge of the envelope images is required. By using the lacunarity for several ranges of neighbor window sizes r onto 200 postal envelope images, the proposed approach reached a success rate over than 97% on average.
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Wolf, M., Niemann, H., Schmidt, W.: Fast Address Block Location on Handwritten and Machine Printed Mail–piece Images. In: ICDAR 1997 IEEE International Conference on Document Analysis and Recognition, pp. 53–757 (1997)
Mandelbrot, B.: The Fractal Geometry of Nature. W. H. Freeman And Company, New york (1983)
Eiterer, L.F., Facon, J., Menoti, D.: Fractal-Based Approach for Segmentation of Address Block in Postal Envelopes. In: Sanfeliu, A., Martínez Trinidad, J.F., Carrasco Ochoa, J.A. (eds.) CIARP 2004. LNCS, vol. 3287, pp. 454–464. Springer, Heidelberg (2004)
Gefen, Y., Meir, Y., Mandelbrot, B.B., Aharony, A.: Geometric Implementation of Hypercubic Lattices with Noninteger Dimensionality by Use of Low Lacunarity Fractal Lattices. Physical Review Letters 50(3), 145–148 (1983)
Henebry, G.M., Kux, H.J.H.: Lacunarity as a texture measure for SAR imagery. International Journal of Remote Sensing 16, 565–571 (1995)
Lin, B., Yang, Z.R.: A suggested lacunarity expression for Sierpinski carpets. Journal of Physics A: Mathematical and General 19(2), 49–52 (1986)
Allain, C., Cloitre, M.: Characterizing the lacunarity of random and deterministic fractal sets. Physical Review A 44(6), 3552–3558 (1991)
Otsu, N.: A Threshold Selection Method from Gray-level Histograms. IEEE Transactions on Systems, Man and Cybernetics 9(1), 62–66 (1979)
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© 2005 Springer-Verlag Berlin Heidelberg
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Facon, J., Menoti, D., de Albuquerque Araújo, A. (2005). Lacunarity as a Texture Measure for Address Block Segmentation. In: Sanfeliu, A., Cortés, M.L. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2005. Lecture Notes in Computer Science, vol 3773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11578079_12
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DOI: https://doi.org/10.1007/11578079_12
Publisher Name: Springer, Berlin, Heidelberg
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