QR Barcode tilt correction and recognition based on image processing Engineering
Lekshmi Jv, Nampumadom Arukalickal, East Vayala · 2013
Binarization is the process of Conversion of a picture to only black and white. Binarization approaches is difficult to difficult to directly apply barcode images captured by mobile device due to their low quality. In this paper proposes a novel scheme for the binarization of such images. Binarization of LowQuality Barcode Images Captured by Mobile Phones Using Local Window of Adaptive Location and Size. A binary image is a digital image that has only two possible values for each pixel. The barcode and background regions are differentiated using the number of edge pixels in a search window. The balance of the number of object and background pixels can be achieved using window center to the nearest edge pixel. Window size is depended on the minimum distance to edges or minimum element width in the barcode. The threshold is also calculated using statistics in the window. Proposed method has demonstrated its capability in handling the no uniform illumination problem and the size variation of objects.