Optimization and Application Research of QR Code Recognition Algorithms in Complex Environments

QR code technology, as an essential component of modern information society, has increasingly highlighted the importance of its detection and recognition. We first constructed an efficient and reliable QR code recognition framework and proposed optimization measures: enhancing recognition capabilities in complex backgrounds through advanced filtering and edge detection; achieving multi-QR code separation using connected domain analysis; improving recognition performance by applying sharpening enhancement, brightness adjustment, and geometric correction to blurry, low-light, and distorted images. Experimental results show that the optimized algorithm significantly improves recognition accuracy and robustness, meeting the needs of diverse application scenarios and providing effective technical support for modern information processing.