Symbology Decoding Algorithm
The Symbology Decoding Algorithm for barcode scanners is the first symbology-based algorithm for decoding. The new technique utilizes information from the entire image to detect transitions in the signal, whereas the traditional algorithm relies on the maxima and minima. Traditional methods are prone to errors because the method relies on a derivative; they are also sensitive to noise and blurring. The Symbology Decoding Algorithm for Bar Code Scanners exhibited high resilience to blur and noise when tested on 1D Universal Product Codes. The algorithm can also be extended for use on 2D Universal Product Codes.