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Barcode Scanning from Mobile-Phone Camera Photos Delivered Via MMS: Case Study

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Advances in Conceptual Modeling – Challenges and Opportunities (ER 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5232))

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Abstract

Price comparison services are commonly available via WWW interface and they belong to the most popular web-sites because their functionality is highly valued by users. However, in dynamic action of shopping, customers equipped in mobile devices have no time and conditions for precise describing products on their mini screens of PDAs or mobile phones. An alternative request for information about prices and availability of a product encountered during shopping might be sent to price comparator through MMS channel in the form of photograph with product’s barcode. In the paper we describe a series of experiments using mobile phones for sending camera-made barcodes and deriving numerical equivalence for product ID. Experiments were conducted on a set of barcodes in ideal and real conditions using a library for software barcode scanning. Collected results show two main sources of difficulties in using such a system: human-related problems and technical issues described in the paper. A separate issue is availability of barcode id in product description stored in price comparator database.

This research was partially supported by the grant 91-439/BW.

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References

  1. Wojciechowski, A.: Supporting Social Networks by Event-Driven Mobile Notification Services. In: Meersman, R. (ed.) OTM-WS 2007, Part I. LNCS, vol. 4805, pp. 398–406. Springer, Heidelberg (2007)

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Author information

Authors and Affiliations

  1. Institute of Computing Science, Poznan University of Technology, ul. Piotrowo 2, 60-965, Poznan, Poland

    Adam Wojciechowski & Konrad Siek

Authors
  1. Adam Wojciechowski
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  2. Konrad Siek
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Editor information

Editors and Affiliations

  1. College of Information Science and Technology, Drexel University, USA

    Il-Yeol Song

  2. Dep. of Information Technologies & Systems - Escuela Superior de Informática, University of Castilla-La Mancha, Alarcos Research Group- Institute of Information Technologies & Systems, Ciudad Real, Spain

    Mario Piattini

  3. School of Engineering and Information Technology, Deakin University, 221 Burwood Highway, Vic, 3125, Australia

    Yi-Ping Phoebe Chen

  4. Clausthal University of Technology, Julius-Albert-Str. 4, 38678, Clausthal-Zellerfeld, Germany

    Sven Hartmann

  5. Dipartimento di Elettronica, Informatica e Sistemistica, Alma Mater Studiorum – Università di Bologna, P.O. Box, Italy

    Fabio Grandi

  6. Department of Software and Computing Systems, University of Alicante, Spain

    Juan Trujillo

  7. Department of Information Science and Media Studies, University of Bergen, Fosswinckelsgate 6, 5007, Bergen, Norway

    Andreas L. Opdahl

  8. Istituto di Ricerche sulla Popolazione e Politiche Sociali, CNR, Via Nizza 128, 00198, Roma, Italy

    Fernando Ferri  & Patrizia Grifoni  & 

  9. IRPPS-CNR, Rome, Italy

    Maria Chiara Caschera

  10. Universit Paris1 Panthon Sorbonne, CRI, 90 Rue de Tolbiac, 75013, Paris

    Colette Rolland

  11. Portland State University, USA; Indiana University, USA University of British Columbia, Canada; Hill-Rom Company, USA University of British Columbia, Canada; Deloitte Consulting, P.O. Box, USA

    Carson Woo

  12. Centre de Recherche en Informatique, Université Paris 1 Panthéon-Sorbonne, 90 rue de Tolbiac, 75013, Paris

    Camille Salinesi

  13. Université Libre de Bruxelles, Belgium

    Esteban Zimányi

  14. Naval Academy Research Institute, Brest Naval, France

    Christophe Claramunt

  15. Technische Universiteit Eindhoven, PO Box 513, NL-5600 MB, Eindhoven, The Netherlands

    Flavius Frasincar

  16. Technische Universiteit Eindhoven, P.O. Box 513, NL 5600 MB, Eindhoven, The Netherlands

    Geert-Jan Houben

  17. IMRU-FUNDP, University of Namur, Namur, Belgium

    Philippe Thiran

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© 2008 Springer-Verlag Berlin Heidelberg

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Wojciechowski, A., Siek, K. (2008). Barcode Scanning from Mobile-Phone Camera Photos Delivered Via MMS: Case Study. In: Song, IY., et al. Advances in Conceptual Modeling – Challenges and Opportunities. ER 2008. Lecture Notes in Computer Science, vol 5232. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87991-6_27

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  • DOI: https://doi.org/10.1007/978-3-540-87991-6_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87990-9

  • Online ISBN: 978-3-540-87991-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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