Recognition accuracy

Recognition accuracy refers to how well a system, like facial recognition or voice recognition, correctly identifies or matches the intended person or object. It measures the percentage of times the system's identification is correct out of all attempts. For example, if a facial recognition system correctly identifies 90 people out of 100, its accuracy is 90%. High accuracy means the system reliably recognizes individuals with fewer mistakes, which is essential for security, authentication, and user experience.