Real-Time AR Text Recognition Based Library Management System

Authors

  • Chongsan Kwon
  • Seongjin Kim
  • Seung-Min Park

Abstract

Background/Objectives: Difficulties in managing books are increasing due to the quantitative and qualitative growth of libraries worldwide. In particular, since books are often not located in the designated bookshelf, the user and librarian often have difficulty finding certain books.
Methods/Statistical analysis: Therefore, this study proposed a real-time Augmented Reality (AR) based text recognition library management system using a smartphone in order to improve the efficiency of the user’s book search and librarian’s book management. The existing method of finding books by book classification number and AR text recognition based library management system implemented in this study was used to measure and compare the time taken to find a specific book. A Mann-Whitney U test, interview, and observation were all conducted for the analysis.
Findings: According to the analysis, the system did not improve the speed of finding books. The reason is that the text was not easily recognized over a long distance, and it was not easy to check the text recognition results of the smartphone while searching for a book with one’s eyes.
Improvements/Applications: In future studies, we will develop a smart glasses based library management system to ensure that text recognition results show up at the user's point of view and will verify the effectiveness of it.

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Published

2020-03-26

Issue

Section

Articles