Fast Algorithm for Recognition of 2D Barcode: A Review

Mobile phones with cameras are the most popular combination for 2D bar code reading, which has
increased the commercial values to use camera phones. The reported work provides discussions on
introducing solutions of the difficulties introduced by low image quality which is the most commonly found in
barcode images taken by a phone camera. This study also compares results of different approaches used for
recognition of 2D barcodes. The relevant discussion on Fourier-Radon transform has been made to estimate
the parameters of the blurring kernel with improved robustness to noise over available techniques.
Experiments on both simulated and real images have shown that blurring kernels can be accurately identified
for a wider range of motion types. For localization of 2D barcodes edge tracing is also proposed for further
validate the initially localized corners. For recognition of 2D barcodes by Richardson Lucy Method is also
discussed