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Using SIFT and Sliding Window to Detect and Invent Literature for Library Robot

Nguyen Phuong Nam, Nguyen Cong Nam, and Nguyen Truong Thinh
Department of Mechatronics, HCMC University of Technology and Education, Ho Chi Minh City, Viet

Abstract—In recent years, workload of librarian has increased even more in academic or university libraries. In each library, the librarian need to do enormous thing such as guiding, searching information, sorting, arranging, inventing the books or journals, magazines… and that is the daily workload for professional librarians. In this paper, a method of identifying books placed on bookshelves in the library is described like as integrating the identification systems into the robot to carry out service works as well as to reduce service manpower. Book identification’s implementation for inventing the book or journals, magazines… focused on SIFT model in combination with Sliding Window method to recognize the spine of books on bookshelf. The experimental results were greatly potential. The accuracy of inventing with the method of SIFT is up to approximately 95% or more in the case of non-duplicated books.

Index Terms—SIFT, sliding window, image processing, library robot, service robot

Cite: Nguyen Phuong Nam, Nguyen Cong Nam, and Nguyen Truong Thinh, "Using SIFT and Sliding Window to Detect and Invent Literature for Library Robot," International Journal of Mechanical Engineering and Robotics Research, Vol. 10, No. 7, pp.386-391, July 2021. DOI: 10.18178/ijmerr.10.7.386-391

Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.