1 / 15

Barcode Recognition

UCI iCAMP 2013. Barcode Recognition. Yifei Lou, Ernie Esser , Jack Xin. Different types of barcodes?. EAN-13. UPC-A. QR code. UPC-A’s anatomy. ~ 1 trillion ( 10^12 ) different barcodes. UPC-A’s anatomy. It encodes information in the relative widths of the bars. Codebook.

avalon
Download Presentation

Barcode Recognition

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. UCI iCAMP 2013 Barcode Recognition Yifei Lou, Ernie Esser, Jack Xin

  2. Different types of barcodes? EAN-13 UPC-A QR code

  3. UPC-A’s anatomy ~ 1 trillion (10^12) differentbarcodes

  4. UPC-A’s anatomy It encodes information in the relative widths of the bars

  5. Codebook

  6. Barcode scanner/reader • Laser scanner • Imaging scanner

  7. Image acquisition • Pre-processing • Decoding 12589-34706

  8. Image deblurring Barcode Ideal signal Obtained signal

  9. Image formation model Obtained signal Ideal signal Electrical noise, source defects, etc

  10. An inverse problem: find u given y • Non-blind: the kernel G is known • Semi-blind: Gaussian kernel with unknown width • Blind: the kernel G is completely unknown

  11. Progress from last year • Show Matlab GUI

  12. New directions • Pre-processing, data alignment • Estimating the resolution to achieve dimension reduction • Dictionary based approach • Experimental study of the box constraint

  13. Weekly agenda • Week 1: introduction to barcode. • Week 2: Review on classical methods and last year’s progress. • Week 3: Form subgroups for the method that you want to work with. • Week 4: For each subgroup, coding and testing. • Week 5: Midterm presentation • Week 6-7: Matlab GUI/Compare all the methods/Collect real data with cell phone • Week 8: write up a paper and prepare presentation.

More Related