A robust approach to optimize channel error correction capability of picode

Nowadays in many commercial applications machine readable 2D barcode is being used. Conventional QR codes comprises of random textures which fails to incorporate images preferred by the users. In the proposed system Noise like appearance of conventional QR code is substituted by a 2D barcode with greater data capacity maintaining both the novel appearance of the embedded image and correctness of the decoded message. The QR information bits are encoded into luminance value of the input image. Applying BCH Source channel error correction technique a new decoding scheme has been developed which enables a robust error correction performance as compared to the traditional 2D barcodes. Further the proposed QR code can inspire more perceptivity in multimedia applications and can ensure data security for instances like online payments. The system is implemented on Matlab and ARM cortex A8.