Yongkang Zhang
ABSTRACT
The QR code image based on halftone micro-noise information, which has excellent anti-duplication performance and certain application value in the field of anti-counterfeiting and traceability. However, due to the mocro-size of halftone noise dots, it's often difficult to obtain high-sharpness images during the recognition process of ordinary mobile phones. In order to obtain high-sharpness halftone QR code images, this paper proposes the improved algorithm of least squares, which can quickly evaluate the sharpness of the scanned image by calculating the gray gradient of local pixels, and proposes PWM algorithm to evaluate the halftone QR code image after segmentation by calculating the proportion of the local high-frequency components. Proved by experiments, the methods in this paper with less time complexity can effectively improve the sharpness of obtained halftone QR code images.
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