Abstract
In this paper, we present a design and implementation of smart book system using pen based augmented reality approach. Student has been given a smart pen and a smart study book, which is a usual printed material with CMY inks for contents and K ink for perceptually invisible dot patterns. When a student touches a smart study books with our smart pen, we show his/her multimedia (visual/audio) information which is exactly related with the selected region. Smart pen includes (1) IR LED/IR pass filter for illumination independent extraction of the dot patterns, and (2) camera for image captures. From the image sequences, we perform topological graph analysis which determines the topological distance between dot pixels, and perform error correction decoding using four position symbols and five CRC symbols. Our scheme can embed 16 bit information, which is more than 200% larger than previous scheme, which supports 7 bits or 8 bits information at most.
This work was supported by Business for International Cooperative R&D between Industry, Academy, and Research Institute funded Korea Small and Medium Business Administration in 2010.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Weiser, M.: Some computer science issue in ubiquitous computing. Communication of the ACM 36(7), 75–84 (2003)
Fukunage, K.: Introduction to Statistical Pattern Recognition. Computer Science and Scientific Computing Series (1990)
Duda, Hart, Stork: Pattern Classification (October 2000)
Park, C.W., Byun, K.D., Lee, S.J.: Digital Image Categorization using Pattern Recognition. In: Proceedings of The Korean Society of Broadcast Engineers Winter Conference 2008, vol. 14(1), pp. 187–190 (2008)
Fu, M., Au, O.: Data Hiding Watermarking for Halftone Images. IEEE Transactions on Image Processing 11(4) (2002)
General EAN.UCC Specification v.6.0.: http://www.ean.se/GSV6.0/HTML_Files/Document_Library/Bar_Code/00103/index.html
Pavlidis, T., Swartz, J., Wang, Y.P.: Fundamentals of Bar Code Information Theory. IEEE Computer 23(4), 74–86 (1990)
International Organization for Standardization: Information Technology - Automatic Identification and Data Capture Techniques - Bar Code Symbology - QR Code. ISO/IEC 18004 (2000)
Rohs, M.: Real-world interaction with camera phones. In: Proc. Int’l Sympo. Ubiquitous Computing Systems 2004, pp. 74–89 (2004)
QR code, http://www.qrcode.com
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Shim, J.Y., Kim, SW. (2011). Topological Graph Matching Based Dot Pattern Recognition Scheme for Smart Book. In: Lee, G., Howard, D., Ślęzak, D. (eds) Convergence and Hybrid Information Technology. ICHIT 2011. Lecture Notes in Computer Science, vol 6935. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24082-9_73
Download citation
DOI: https://doi.org/10.1007/978-3-642-24082-9_73
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24081-2
Online ISBN: 978-3-642-24082-9
eBook Packages: Computer ScienceComputer Science (R0)