Research on Cylinder Data Matrix Barcode Recognition

Abstract

For the special requirements of recognition the Data Matrix barcode which marked on the cutter cylinder, considering of traditional recognition methods can’t solve the problems such as highlight reflection, cylinder distortion, the information incomplete collection, etc., causing low recognition rate. This paper presents a cutter cylinder Data Matrix barcode recognition method based on the sequence images mosaic and fusion. This method through rotating the cutter which is put in the auxiliary device to collect a group of cutter cylinder Data Matrix barcode sequence images, and then corrects the barcode longitudinal displacement to achieve calculating matching degree and image registration based on phase correlation method. At last, in order to ensure the structure of the barcode right, the sequence images are fused into three parts on the basis of the matching degree, and then achieve module division and distortion correction of each part. Finally according to the barcode module relation, three parts are fused into a barcode image which has a correct structure, and recognize the barcode image. The experimental results show that this method can solve the problem of recognition the cutter cylinder Data Matrix barcode, the decoding accuracy achieve 95%, and mosaic the time is less than 200ms.