Abstract:
This paper investigates the application of algorithms for comparing the similarity between two photographs using Python and C++ programming languages. Through implementation using libraries such as OpenCV and NumPy, the percentage similarity between two images is calculated. The paper shows the key steps in image processing, as well as the evaluation of the results. It also analyzes the code in both programming languages and their advantages and disadvantages.