| Automatic recognition techniques include barcode (1D or 2D), card technology (magnetism, ray and chip), radiofrequency (RFID) and biometric feature recognition. Among them, the most representative techniques are Barcode and RFID. 2D barcode has the advantages such as high information capacity, strong Privacy and low cost, which makes it of wide prospective in Logistics and manufacturing. Especially, the integration of mobile phone and 2D barcode will greatly extend the function of mobile phones and promote the rapid increase of Value-added services for mobile communication.For the 2D barcode image captured by scanner, digital camera, especially the camera equipped with mobile phone, there maybe exist bad effects such as distortion, blurring, uneven lighting, and even the stained barcode itself. This thesis researches on the image pre-processing techniques involved in automatic recognition of data matrix barcode captured by camera as an example. The main work is summarized as follows:First, after introduction of 1D barcode, the concept and classification of 2D barcode is briefly discussed. The advantages of 2D barcode are analyzed by comparison with 1D barcode, and the start-of-art of 2D barcode recognition is reviewed.Second, the image preprocessing techniques involved in DM barcode recognition are discussed, which include the binarization, location and sampling of barcode image. It does not use techniques such as edge detection and line detection, therefore the influence by background noise and geometric distortion is slight. Moreover, it utilizes the railway-like line to adaptively sample the barcode, which greatly improves the recognition speed and precision.Third, by adopting modular programming design, complete automatic DM barcode recognition software is realized. The Transplantation and optimization of it to the platform of mobile phones is also discussed.Experimental results demonstrate that the proposed image pre-processing techniques can realize the automatic DM barcode recognition under complex situations, and it is of high recognition ratio and speed. |