Description

Quick Response (QR) code is like a two-dimensional bar code but the bar code readable by the optical machine it contain which item is attached the QR code encode the details of numeric, alphanumeric, bytes or binary. It gives more information about anything. It read by the imaging devices only. In our process embedded the different QR images for make the color code. In that process meet the several problems for embedded the QR image automatically. The QR code embedding process the code image will be affected after retrive the QR code. In proposed rectify those problem and embedded the QR images with take less time. The process suitable and easy made non-technical users also. We get the QR images after retrieve the code at less brightness disturbances. The algorithm utilizes masks for the selection of modified pixels and nonlinear programming techniques to locally optimize brightness levels. A tractable model for the probability of error is developed and models of the human visual system are considered in the quality metric used to optimize the brightness levels of the QR image. Our proposed system the different QR codes are embed by using different colors. And retrieve the QR codes based on its color it use to embed the different QR codes in single image.