Abstract
In this paper, we present a framework to recognize books on bookshelves by reading its title on book spines. The framework consists of control and recognition module. Control module moves camera to suitable positions for image capturing while recognition one processes taken images to know which books are shelved on the shelves. Firstly, images are captured from random position. Secondly, we separate it into book and non-book regions. Then, books in book region are segmented by using line segment and MSAC based dominant vanishing point (DVP). After book verification stage, adaptive Otsu’s thresholding is employed to extract book titles and ready for recognition of next stage. In case recognizing unsuccessfully, we feedback control information to control module to adjust camera location and repeat the above procedure.
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References
Minako, S., Hiroshi, M., Norihiro, H.: Character Recognition on Bookshelf Images by Automatic Template Telection. Pattern recognition. In: Pro. 14th International conference, vol. 2, pp. 1117–1120 (1998)
Yukari, A., Minoru, I.: Book Recognition from Color Images of Book Shelves. In: MVA 1998 IAPR Workshop on Machine Vision Applications, Makuhari, Chiba Japan (1998)
Eiji, T., Seiichi, U., Hiroaki, S.: Block Boundary Detection and Title Extraction for Automatic Bookshelf Inspection. In: 10th Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2005, Fukuoka, Japan (2004)
Fischler, M.A., Bolles, R.: Random Sample Consensus. A Paradigm for Model Fitting With Apphcahons to Image Analysm and Automated Cartography. In: Baurnann, L.S. (ed.) Proc. Image Understanding Workshop, College Park, Scmnce Apphcatlons, McLean, Va, pp. 71–88 (1980)
Prats, M., Sanz, P.J., del Pobil, A.P.: Model-based Tracking and Hybrid Force/Vision Control for the UJI Librarian Robot. In: Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems, Edmonton, Canada, pp. 1090–1095 (2005)
Chitrakala, G., Manjula, D.: Contourlet Based Approach for Text Identification and Extraction from Heterogeneous Textual Images. International Journal of Computer Science and Engineering (2008)
Terol, I.R., Vargas, D.: A Study of Openings and Closings with Reconstruction Criteria. In: Proc. 6th International Symposium in Marhemadcal Morphology (2002)
Torr, P.H.S.: MLESAC: A New Robust Estimator with Application to Estimating Image Geometry. In: CVIU, vol. 78, pp. 138–156 (2000)
Rousseeuw, P.J., Leroy, A.M.: Robust Regression and Outlier Detection. Wiley Inter-science, Chichester (2003)
Taira, P.E., Uchida, S., Sakoe, H.: Book Boundary Detection from Bookshelf Image Based on Model Fitting. In: International Symposium on Information Science and Electrical Engineering (2003)
Shan, Q., Jiaya, J., Agarwala, A.: High-quality motion deblurring from a single image. ACM Transactions on Graphics 27, 1–73 (2008)
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Quoc, NH., Choi, WH. (2009). A Framework for Recognition Books on Bookshelves. In: Huang, DS., Jo, KH., Lee, HH., Kang, HJ., Bevilacqua, V. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2009. Lecture Notes in Computer Science, vol 5754. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04070-2_44
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DOI: https://doi.org/10.1007/978-3-642-04070-2_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04069-6
Online ISBN: 978-3-642-04070-2
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