2D QR Barcode Recognition Using Texture Features and Neural Network
نویسندگان
چکیده
Barcode is a representation of information which is non human readable. Barcode can be characterized into two categories 1-dimensional barcode and 2-dimensional barcode. Quick Response (QR) code is popular type of two dimensional barcode. Information stored in QR code is in the form of white and black dots. The stored information is related to the product to which it is attached. This information can be retrieved by capturing the image of QR code using today’s mobile phones which comes with a camera and internet connection. Image processing provides various techniques to process this captured image. This research paper presents a novel method for QR barcode recognition using the texture features and neural network. All the operations are performed on the MATLAB platform. Performance of proposed methodology is evaluated using a database of QR code images. ZXing library is also used for recognition purpose which shows the satisfactory results.
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