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Decoding Deformed Barcode Images with Scanpath Walkthrough

초록

영어

Most camera-based barcode reading systems are scanline-based and designed to work with barcodes attached on flat or smooth surfaces. These systems are likely not able to deal with barcodes on surfaces with high level of deformation, thus making it difficult to find a scanline passing through readable regions. In this paper, an approach that addresses the decoding of deformed barcode images is presented. Our method is based on constructing a scangraph that covers over the area of the barcode, and creating a scanpath that walks through the scangraph by avoiding the regions that are less readable. Barcode digit templates are then used to decode the data sampled along the scanpath. Preliminary results show that some challenging deformed barcode images can be correctly decoded with the presented technique.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Research Methodology
 4. Extracting Barcode Structure
  4.1. Blob Extraction
  4.2. Blob Selection
 5. Constructing Scangraph
  5.1. Scanning Track Tracing
  5.2. Track Profiling
  5.3. Scangraph Construction
 6. Decoding along a Scanpath using Templates
  6.1. Template Matching
  6.2. Scangraph Searching
 7. Preliminary Results
 8. Conclusion
 9. References

저자정보

  • Poonna Yospanya Department of Computer Engineering, Chulalongkorn University Bangkok 10330, Thailand
  • Yachai Limpiyakorn Department of Computer Engineering, Chulalongkorn University Bangkok 10330, Thailand

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