Segmentation of Chinese Postal Envelope Images for Address Block Location
Identifieur interne : 000911 ( Main/Exploration ); précédent : 000910; suivant : 000912Segmentation of Chinese Postal Envelope Images for Address Block Location
Auteurs : Xinghui Dong [République populaire de Chine] ; Junyu Dong [République populaire de Chine] ; Shengke Wang [République populaire de Chine]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2009.
Abstract
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.
Url:
DOI: 10.1007/978-3-642-10520-3_53
Affiliations:
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<front><div type="abstract" xml:lang="en">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.</div>
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