Barcode Detection with Uniform Partitioning and Distance Transformation

Péter Bodnár and László G. Nyúl


Barcode detection, computer vision, partitioning, feature extraction, distance transformation, data matrix


Barcode detection is required in a wide range of real-life applications. Imaging conditions and techniques vary considerably and each application has its own requirements for detection speed and accuracy. In our earlier works we used uniform partitioning with several approaches for detection of various types of 1D and 2D barcodes and showed their behaviour on a set of test images. In this work, we extend the partitioning idea and replace scan-line based methods with distance transformation to improve accuracy.

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