Algorithm research and implementation of fast identification of barcode

This thesis makes analysis through digital image processing, in which methods such as Median Filtering Noise Reduction, Sectoring Threshold Segmentation, Logical Values Match and so on are put into use to process the digital image data of barcode and to implement its fast identification. Automatic identification technology of barcode has the advantage of low cost and has been being widely used in many fields: commodity circulation, industrial production automation, office automation and so forth. The barcode, the carrier of information, plays a key role all along. With more and more information in modern enterprise, great emphasis is put on quick acquisition and efficient processing of information. As a result, it is of remarkable importance to study the fast identification of barcode.