Segmentation of Chinese Postal Envelope Images for Address Block Location

Authors:
Xinghui Dong;Junyu Dong;Shengke Wang
Affiliations:
Department of Computer Science and Technology, Ocean University of China, Qingdao, China 266100;Department of Computer Science and Technology, Ocean University of China, Qingdao, China 266100;Department of Computer Science and Technology, Ocean University of China, Qingdao, China 266100
Venue:
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Year:
2009

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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.