Authors : Chang Xiao , Cheng Zhang , Changxi Zheng Authors Info & Claims
Article No.: 15, Pages 1 - 16 Published : 28 February 2018 Publication History 39 citation 17,398 Downloads Total Citations 39 Total Downloads 17,398 Last 12 Months 370 Last 6 weeks 47 Get Citation AlertsThis alert has been successfully added and will be sent to: You will be notified whenever a record that you have chosen has been cited.
To manage your alert preferences, click on the button below. Manage my AlertsWe introduce FontCode, an information embedding technique for text documents. Provided a text document with specific fonts, our method embeds user-specified information in the text by perturbing the glyphs of text characters while preserving the text content. We devise an algorithm to choose unobtrusive yet machine-recognizable glyph perturbations, leveraging a recently developed generative model that alters the glyphs of each character continuously on a font manifold. We then introduce an algorithm that embeds a user-provided message in the text document and produces an encoded document whose appearance is minimally perturbed from the original document. We also present a glyph recognition method that recovers the embedded information from an encoded document stored as a vector graphic or pixel image, or even on a printed paper. In addition, we introduce a new error-correction coding scheme that rectifies a certain number of recognition errors. Lastly, we demonstrate that our technique enables a wide array of applications, using it as a text document metadata holder, an unobtrusive optical barcode, a cryptographic message embedding scheme, and a text document signature.
Supplemental movie, appendix, image and software files for, FontCode: Embedding Information in Text Documents Using Glyph Perturbation
