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http://dx.doi.org/10.9717/kmms.2013.16.5.549

Image Preprocessing in Container Identifier Recognition System Using Multiple Threshold Regions  

Woo, Chong-Ho (부경대학교 컴퓨터공학과)
Publication Information
Journal of Korea Multimedia Society / v.16, no.5, 2013 , pp. 549-557 More about this Journal
Abstract
This paper proposes a method using the multiple threshold regions in the image preprocessing procedure for container identifier recognition system. The multiple threshold regions are set by considering the container image characteristics and used as the candidates for the final one, The image is transformed to black and white images using these threshold regions, then labeling, panelling and panels merging are executed for each candidate, respectively. Finally the best threshold region is selected through this procedure and the character region can be extracted. Applying the similar method the noises are removed and the characters of identifier are segmented from the extracted region. In the experiments with 162 different images the success rates for extracting of the character region and segmenting the characters are 99.04% and 98.09%, respectively.
Keywords
Container Identifier Recognition; Image Binarization; Character Region Extraction; Character Segmentation;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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