Digitized photo editing softwares are now readily available on today’s computing devices. As a result, altering with any photograph and making it publicly available is rather easy. As a result, confirming the integrity of electronic photographs is becoming highly crucial. The use of a data hiding technique for copyright protection and image authentication is becoming more popular. In this paper, a novel reversible data hiding (RDH) system employing Local Binary Pattern (LBP) and Interpolation for tamper detection and authentication has been developed to increase both data hiding capacity and picture integrity. At first, the input image is scaled down to original image. Then image interpolation is applied to create a cover image using Neighbor Mean Interpolation (NMI). From the original image block, the LBP and a mean value are calculated and then placed into interpolated pixels. A customized secret logo image is generated at the same time and inserted within the same image block of the cover picture. It successfully extracts the secret data from the stego image without any distortion, identifies the tamper region, and authorizes the genuine owners during the extraction process, which is extremely important in many human-centric applications like medical, military, government, and public sector, without which today’s technological progress would be halted. The system has been experimentally evaluated and reported to be robust against a number of common attacks. The suggested system outperforms existing state-of-the-art methods, as evidenced by the results of several quality indicators.