New Data Embedding and Detecting Method for Printed Image
Masashi Shiiba, Mitsuji Muneyasu, Soh Yoshida · 2019
To associate a printed medium with information on the Internet, several data embedding and detecting methods using the camera of a mobile device have been proposed. This paper proposes a new data embedding method to obtain a higher detection rate. A new data embedding positions and a new calculation method of correlations for detecting the data are introduced. We also focus on the capture of versions of the same image simultaneously using a mobile device. We propose a method of selecting the blocks for which a high detection rate can be expected, decoding the embedded data from the blocks, and combining the decoded data. From an experiment, it is shown that the proposed method is effective for improving the detection rate.