• DocumentCode
    3275369
  • Title

    Intelligent book positioning for library using RFID and book spine matching

  • Author

    Ng, Wing W Y ; Qiao, Yi-song ; Lin, Li ; Ding, Hai-lan ; Chan, Patrick P K ; Yeung, Daniel S.

  • Author_Institution
    Machine Learning & Cybern. Res. Center, South China Univ. of Technol., Guangzhou, China
  • Volume
    2
  • fYear
    2011
  • fDate
    10-13 July 2011
  • Firstpage
    465
  • Lastpage
    470
  • Abstract
    In library, the management of books is very complication and timing costing. The location of books could be altered by librarian, students, teachers and any one around the library. Therefore, allocating a book is not an easy task in big library. Indoor positioning is an important technology to help storage management and customer services providing. RFID provides a good wireless platform to facilitate indoor positioning. However, duo to the small width of each book spine, adopting positioning based RFID alone is not enough to locate books in a library. In this work, we combine image matching with L-GEM based RBFNN to enhance the accuracy and robustness of the book locating system. We apply this new method in a library environment to position the certain books. Experimental results show that the proposed method is highly accurate and robust to white noise of RFID signals.
  • Keywords
    customer services; image matching; indoor communication; library automation; radial basis function networks; radiofrequency identification; storage management; white noise; L-GEM based RBFNN; RFID signals; book locating system; book spine matching; customer services providing; image matching; indoor positioning; intelligent book positioning; library environment; radial basis function neural network; storage management; white noise; Feature extraction; Image matching; Libraries; Neurons; Noise; Radiofrequency identification; Training; Image matching; Indoor Positioning; Neural Network; RFID;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
  • Conference_Location
    Guilin
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4577-0305-8
  • Type

    conf

  • DOI
    10.1109/ICMLC.2011.6016840
  • Filename
    6016840