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Segmentation of Chinese Postal Envelope Images for Address Block Location

  • Xinghui Dong
  • Junyu Dong
  • Shengke Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5876)

Abstract

In this paper, we propose a simple segmentation approach for camera-captured Chinese envelope images. We first apply a moving-window thresholding algorithm, which is less curvature-biased and less sensitive to noise than other local thresholding methods, to generate binary images. Then the skew images are corrected by using a skew detection and correction algorithm. In the following stage rectangular frames on the envelopes containing postcode are removed by using opening operators in mathematical morphology. Finally, a post-processing procedure is used to remove remaining thin lines. In this stage, connected components are labeled. We test 800 camera-captured envelope images in our experiments, including handwritten and machine-printed envelopes. For almost all of these images, the proposed approach can accurately separate the address block, stamp and postmark from the background.

Keywords

Binary Image Document Image Mathematical Morphology Sobel Operator Rectangular Frame 
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 2009

Authors and Affiliations

  • Xinghui Dong
    • 1
  • Junyu Dong
    • 1
  • Shengke Wang
    • 1
  1. 1.Department of Computer Science and TechnologyOcean University of ChinaQingdaoChina

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