QR Barcode Detection

QR Barcode Detection PowerPoint PPT Presentation


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QR Barcode Detection

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1. QR Barcode Detection Machine Vision

2. Components in QR code readers

3. QR Properties (Basic)

4. QR Detection Algorithm

5. Triangle Point Ordering

6. Perspective Corrections

7. Perspective Correction Algorithm for (long i = 0; i < dimension; ++i) // y-axis direction { for (long j = 0; j < dimension; ++j) // x-axis direction { // The QR code is read as if it were an un-rotated and un-skewed image POINT pt; pt.x = (j * module_size) + half_module_size; pt.y = (i * module_size) + half_module_size; POINT p = transform.TransformPoint(pt); // Does the perspective correcting qr_store.set(pt, image.IS_BLACK(p)); } }

8. Perspective Corrections

9. Results < 1000 Source Lines of Code (SLOC) Almost no floating-point code Working to make it none Very quick

10. Results

11. Future Work Image filtering and cleaning Histogram analysis Colour to greyscale to monochrome QR decoding Extracting the contents (Message, URI etc…) Reed–Solomon error correction Level L Level M Level Q Level H

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