Lacunarity as a texture measure for address block segmentation

Authors:
Jacques Facon;David Menoti;Arnaldo de Albuquerque Araújo
Affiliations:
Grupo de Imagem e Visão – Programa de Pós-Graduação em Informática Aplicada, PUCPR – Pontifícia Universidade Católica do Paraná, Curitiba, PR, B ...;Grupo de Imagem e Visão – Programa de Pós-Graduação em Informática Aplicada, PUCPR – Pontifícia Universidade Católica do Paraná, Curitiba, PR, B ...;Departamento de Ciência da Computação, UFMG – Universidade Federal de Minas Gerais, Grupo de Processamento Digital de Imagens, Belo Horizonte, MG, Brazil
Venue:
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
Year:
2005

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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.