Extraction of QR Code Images from Mobile Phone Captures

This implementation focuses on extracting QR code images from mobile-captured photographs, incorporating key image processing stages including QR code rotation, correction, and decoding. The system enables users to conveniently retrieve information encoded in QR codes, significantly enhancing user experience. While primarily optimized for QR codes, the functionality can be extended to other barcode types such as linear barcodes and Data Matrix codes, though decoding accuracy may vary depending on the specific barcode characteristics. The technical implementation leverages computer vision techniques and image processing algorithms. Key processing steps include image preprocessing using Gaussian blur for noise reduction, adaptive thresholding for binarization, and contour detection algorithms for QR code localization. For rotation correction, the system employs Hough Line Transform or feature point detection to identify QR code orientation, followed by affine transformation for geometric correction. The decoding phase utilizes established QR code libraries like ZXing or OpenCV's QRCodeDetector, which implement Reed-Solomon error correction for robust data recovery. Through systematic rotation and correction processing, the system ensures accurate positioning and reliable decoding of QR code images during extraction. This functionality expands practical application scenarios and provides enhanced convenience for end-users across various mobile imaging conditions.