Research Of Two-Dimension Barcode Recognition Of Smart Phones

Based on the existing technology of two dimension barcode identification and the characteristic of Symbian OS, the technology of two-dimension barcode recognition through smart phones and optimizing image process algorithm that can be used in smart phones is researched in this paper. The main content of this paper is as follows:Firstly, built-in camera to gather two-dimension barcode is used and displayed on the smart phones based on symbian os. For the shortcoming of two-dimension photo gathered by smart phone, the photo usually has a problem of deformation, blurry and skew. This paper uses a new method instead of the ITU-standardized formula to gray scale the colored input image. In order to adapt barcode image to various sizes and gray-scaling values, as well as unevenly illuminated. An adaptive thresholding method is developed insteading of global thresholding. After this step, Regions of neighboring black pixels is found, counted and assigned a number to each. To identify candidates for orientation barcodes among the regions found, three rules are used in this paper to choose the correct barcode region and then this paper uses convex hull algorithm to locate barcode accurately. Finally this paper uses a new method to detect skew angle and correct it. At last we develop two-dimension barcode recognition system on smart phones. Experience proves that this system can recognize two-dimension barcode well and is suited to use on smart phones.