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we present font code a new information embedding method for text documents that allows users to embed and later retrieve messages our key idea is to perturb the glyph of each letter in the text document on font manifolds a set of manifold locations are selected for glyph perturbations in an unobtrusive yet machine readable way forming a codebook to encode arbitrary user specified information to embed a message in a document we first divide the letter sequence into several blocks then we convert the message into a sequence of integers and assign them to individual blocks this process produces an encoded document whose appearance is minimally perturbed from the original document to retrieve the embedded information one can take a photo of a display device or a printed paper our method recognizes the glyph perturbation using convolutional neural networks our method can also decode from a digital document file our method supports different fonts our technique finds many app
