Edge detection algorithm in two-dimension bar code based on mathematical morphology
Gong He · Computer Engineering and Applications Journal · 2008
The blurred edge causes the decline of the two-dimension barcode recognition rate.A novel edge detection recognition algorithm based on mathematical morphology is proposed in this paper.The algorithm’s biggest characteristic is used structure elements with particular form to measure and abstract corresponding shape in the image in order to analyze and identify the image.Therefore blurred edge's effect on barcode's identification can be effectively cut down.By applying choose PDF417 two-dimension barcode as target,the paper utilizes the identifying calculation method that based on mathematical morphology,choosing suitable structure elements,and makes a comparison with several traditional edge detection methods.The result shows that the two-dimension barcode identification algorithm based on mathematical morphology can identify barcode's edge more effectively and strikingly raise barcode's identifying ratio.