TY - JOUR T1 - Barcode detection using local analysis, mathematical morphology, and clustering JF - ACTA CYBERNETICA-SZEGED Y1 - 2013 A1 - Péter Bodnár A1 - László Gábor Nyúl AB -

Barcode detection is required in a wide range of real-lifeapplications. Imaging conditions and techniques vary considerably and each application has its own requirements for detection speed and accuracy. In our earlier works we built barcode detectors using morphological operations and uniform partitioning with several approaches and showed their behaviour on a set of test images. In this work, we extend those ideas with clustering, contrast measuring, distance transformation and probabilistic Hough transformation.

VL - 21 SN - 0324-721X IS - 1 JO - ACTA CYBERN-SZEGED ER -