True-Random Number Generator Based on Image Histogram

Abstract

It is the non-repetitive distribution that makes the random numbers important in artificial intelligence techniques, cryptology, transferring a real environment to the virtual world and many more applications. Since the source of true random numbers consists of data from the physical world, the same number chain is never produced. In this study, images taken from the outside world were used as the source of randomness. The resulting image was first converted into an 8-bit gray image, and then the histogram of this gray image was revealed. As is known, an image histogram shows the color distribution in that image. In this study, the color distribution resulting from the histogram has been converted into a random distribution between 0 and 1. As a result, it was observed that the resulting distribution of numbers overlapped with histogram. Since the distribution of the numbers depends on the ratio of the pixels and the ratio of the pixels on the image obtained, the result is a real random number sequence.