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A Novel Container ISO-Code Recognition Method using Texture Clustering with a Spatial Structure Window

초록

영어

In this paper we present a novel container ISO-code recognition method which uses vertical edge information, a spatial structure window, and texture clustering. The vertical edge information is extracted using a top-hat transform. The candidate region and type of ISO-Code is obtained using a Spatial Structure Window (SSW) which wraps around the vertical edges. The ISO-Code is extracted using texture clustering by the K-Means algorithm which is then recognized by a Back-propagation Neural Network (BP). Experiments confirmed the robustness of the recognition algorithm on real images and videos.

목차

Abstract
 1. Introduction
 2. The System Overview
 3. Extracting the container ISO-code
  3.1. The Top-hap Morphology
  3.2. The Character Mask
  3.3. The Spatial Structure Window
 4. Character Extraction
  4.1. Binarization
  4.2. K-Means Clustering
 5. Character Recognition
 6. Experiments
 7. Conclusion
 References

저자정보

  • Kyung-mo Koo Computer Engineering, Pusan National University
  • Eui-young Cha Computer Engineering, Pusan National University

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