Embedding of color image on QR code with reduced processing time using Genetic Algorithm

Color depends primarily on the reflectance properties of an object. Color image can be modeled as three band monochrome image data, where each band of the data corresponds to a different color. The concept of embedding color image in to the Quick Response code using Genetic Algorithm can reduce the processing time. Halftoning masking techniques are used to take the pixels from the images. After taking the masks window extraction is done parallelly to input image and Quick Response image. Using genetic algorithm good halftone masks can be generated and the time can be optimized and the processing time can be reduced to half of the time taken by other methods. Genetic algorithm is used to reduce the time taken for the processing of image embedding in the Quick Response code. Speedy genetic algorithm is first applied to the input color image and QR code. The results are then fused to generate the QR image. Zxing library dataset is used for the implementation in matlab. Index Terms – QR code, image embedding, halftone masks, genetic algorithm.