2D image codes are widely used for inputting information to mobile devices with cameras. QR code is a typical example of such codes. Conventional image codes do not have semantics in images themselves. Such codes may spoil the quality of design when attached on commercial products. We propose a novel code, Be-code, for embedding data into logo images. Be-code is generated from a logo image by modifying some of the edge pixels according to the bits to be embedded, but avoiding causing obvious change to the appearance of the original logo image. Algorithm for extracting information from the camera captured Be-code is also presented. The original logo image is not required in decoding. In experiments, embedded data could be decoded at a high success rate.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.