Book
Spine Image
Matching for Library Shelf Reading
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The library book
inventory or so called shelf-reading process is an
important task for libraries to identify missing
books and to locate misplaced books.
Currently, this process requires humans to remove
each book from the shelf, open the front cover,
scan its barcode, and reshelve the book. It is a
labor intensive and often error-prone process.
Technologies such as 2D barcode scanning or radio
frequency identification (RFID) tags have recently
been proposed to improve this process. They
both incur significant upfront costs and require a
large investment of time to fit books with special
tags before the system can be productive. A
vision-based automation system is proposed to
improve this process without those prohibitively
high upfront costs. This low-cost
shelf-reading system includes a hand-held imaging
device such as a smartphone with wireless
communication capability and a server that
processes the captured book spine images for book
identification. Existing color feature
descriptors for feature matching typically use
gray scale feature detectors, which omit important
color edges. Also, photometric invariant
color feature descriptors require complex
computations that are not necessary to provide
color descriptor information. This paper presents
the development of a simple color enhancement
feature descriptor called Color Difference of
Gaussians Scale Invariant Feature Transform
(CDSIFT). CDSIFT is well suited for library
inventory process automation and this paper
introduces such a system for this unique
application.
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Collaborators |
Dr. Guangming Xiong, Beijing Institute of
Technology, Beijing, China |
Students:
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Spencer
Fowers,
Clint Pitzak
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Publications:
- S.G. Fowers and D.J.
Lee, “An Effective Color Addition to Feature
Detection and Description for Book Spine Image
Matching,” International Scholarly
Research Network–Machine Vision, vol. 2012,
Article ID 945973, 15 pages, January 2012.
- S.G. Fowers, D.J. Lee,
and G.M. Xiong, “Improve Library Shelf
Reading Using Color Feature Matching of
Book-Spine Image,”
IEEE Proceedings of the International Conference
on Control, Automation, Robotics and Vision
(ICARCV) , p. 2160-2165, Singapore, December
7-10, 2010.
- D.J. Lee, Y.C. Chang,
J.K. Archibald, and C.J. Pitzak, ”Matching
Book-Spine Images for Library Shelf-Reading
Process Automation,”
IEEE Conference on Automation Science and
Engineering (CASE), p. 738-743, Washington DC,
USA, August 23-26, 2008.
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