2d Qr Code Recognition Algorithm And Smartphone

The recognition of two-dimensional QR code is a hot topic in image processing research field. QR code, which has been wildly used both in industry and business fields, has many advantages such as bulk information capacity and quick decoding ability. Thus, the great importance of research on QR code recognition should not be overlooked.The thesis mainly focuses on the two-dimensional QR code recognition technology, including the principle of QR Code, bar code detection algorithm based on Gabor filter and QR code recognition systems on smartphone.First the thesis introduces the principle of two-dimensional QR code, including the structure of QR code, encoding and decoding rule.Second a method of barcode detection based on Gabor filtering is proposed. Barcode area is extracted by pixel catelogies which was performed by Gabor filters who obtained image features by filtering in different scales and different directions. As an application example, one-dimension barcode detection algorithm is introduced. Then the thesis deeply researchs the QR code detection algothrim based on Gabor filter.Third, for unevenly illuminated images with complex backgrounds, the recognition rate and speed of current recognition algorithms are not satisfying. So in this thesis, a method based on pixel search of QR vertexes is studied. The first step is to find the positions of QR code's viewfinders, and then determine the local area of QR code. Finally detect the precise edge of QR code. After the QR code recognition program is realized on the Windows XP platform, the program is transplanted onto the Windows Mobile platform with DirectShow technology used.