Abstract: A scheme for creating digital image copyright certainty is presented in this resaerch with histogram shaped based on artificial neural network. The proposed work watermarking is based on visual key based utilizing genetic algorithm and artificial neural network. The proposed system is going on the adoption of random pixels from the original digital image rather of a particular election of pixels. In today’s outline certainty of digital data is utmost essential in every part of life. More sound methods are being developed to shield the proprietary claims of the multimedia. In this study, an invisible watermarking technique is performed to embed various binary watermarks into digital images based on the idea of cryptography. The proposed project embeds the watermarks without altering the original cover image. In proposed work, we perform the very user-friendly and robust histogram shape-based program for image watermarking using Artificial Neural Network with optimization. For the assortment of the suitable domain from the cover image, we practice Artificial Neural Network (ANN) but there are one more obstacles occurs during an assortment of a suitable region from the cover image to embed the message data. The difficulties are optimization if we cannot use optimization technique then we got the space with disturbance. So, for the optimization, we use a Genetic Algorithm (GA). The foremost developments in the research are genetic algorithm. Experimental outcomes show the recommended work can recover the watermark pattern from the marked image even if significant changes are performed to the original digital image. The image watermarking is executed using image processing toolbox within MATLAB Software.