Lacunarity as a Texture Measure for Address Block Segmentation

  • Jacques Facon
  • David Menoti
  • Arnaldo de Albuquerque Araújo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3773)

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.

Keywords

Neighborhood Size Texture Measure Noise Rate Sierpinski Carpet Postal Automation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Jacques Facon
    • 1
  • David Menoti
    • 1
    • 2
  • Arnaldo de Albuquerque Araújo
    • 2
  1. 1.Grupo de Imagem e Visão – Programa de Pós-Graduação em Informática AplicadaPUCPR – Pontifícia Universidade Católica do ParanáCuritibaBrazil
  2. 2.Departamento de Ciência da ComputaçãoUFMG – Universidade Federal de Minas Gerais, Grupo de Processamento Digital de ImagensBelo HorizonteBrazil

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