Data-bearing halftone images are an attractive high-capacity alternative to barcodes. We show that smartphone close-focus video capture can recover the associated data, and a frequency-domain-based algorithm enables a robust means of detecting the presence as well as determining the location, scale, and orientation of data-bearing designs. Android and iOS mobile implementations achieve this at near video rates. Using these affine transform parameters as a starting point, a method for full perspective correction for precise alignment is also developed. This functionality is fast, accurate, and achieved without the benefit of fiducial marks.
Robert Ulichney, Stephen Pollard, Matthew Gaubatz, "Fast Mobile Stegatone Detection using the Frequency Domain" in Proc. IS&T Int'l Conf. on Digital Printing Technologies and Digital Fabrication (NIP30), 2014, pp 237 - 242, https://doi.org/10.2352/ISSN.2169-4451.2014.30.1.art00059_1