Image recognition in testing refers to the process of using automated tools to identify and verify graphical elements within a software application. This technique can help streamline the testing process by reducing manual effort and improving accuracy. By using algorithms and machine learning, image recognition tools can detect objects, text, and other visual components on the screen, allowing testers to validate the behavior and appearance of the application. This technology is commonly utilized in test automation to enhance efficiency and effectiveness in software testing.