Book spine matching with library collection using speeded up robust features

Imam Yuadi; Ullin Nihaya; Friska Dwi Pratiwi; A. Taufiq Asyhari

doi:10.1109/ICEEIE59078.2023.10334671

Book spine matching with library collection using speeded up robust features

Imam Yuadi, Ullin Nihaya, Friska Dwi Pratiwi, A. Taufiq Asyhari

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research

Abstract

Misplaced books in libraries are an ongoing issue that impedes the efficient retrieval and organizing of books. However, the traditional way of regularly arranging a lot of books according to the classification number in the library costs a lot of time and the implementation of technology such as RFID (Radio Frequency Identification) is expensive. To provide insight and recommendations for libraries with the convenient and cheap method, the use of SURF (Speeded Up Robust Features) is implemented. SURF was implemented by analyzing the image data of some books on a shelf to know the location of the misplaced book when it is projected onto a bookshelf. The result, SURF could match the book spine of the misplaced book on the bookshelf. On the other hand, if it applied to the bookshelf there are a lot of similar books even though they come from different authors. It concludes that SURF could find the location of the book we want by matching the image.

Original language	English
Title of host publication	ICEEIE 2023 - International Conference on Electrical, Electronics and Information Engineering
Editors	Ilham Ari Elbaith Zaeni
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Number of pages	5
ISBN (Electronic)	9798350340501
ISBN (Print)	9798350340518
DOIs	https://doi.org/10.1109/ICEEIE59078.2023.10334671
Publication status	Published - 2023
Externally published	Yes
Event	International Conference on Electrical, Electronics and Information Engineering 2023 - Malang City, Indonesia Duration: 28 Sept 2023 → 29 Sept 2023 Conference number: 8th https://ieeexplore.ieee.org/xpl/conhome/10334620/proceeding (Proceedings) https://www.aconf.org/conf_191155 (Website)

Conference

Conference	International Conference on Electrical, Electronics and Information Engineering 2023
Abbreviated title	ICEEIE 2023
Country/Territory	Indonesia
City	Malang City
Period	28/09/23 → 29/09/23
Internet address	https://ieeexplore.ieee.org/xpl/conhome/10334620/proceeding (Proceedings) https://www.aconf.org/conf_191155 (Website)

Keywords

Book spine
Image matching
Library collection
SURF

Access to Document

10.1109/ICEEIE59078.2023.10334671

Cite this

Yuadi, I., Nihaya, U., Pratiwi, F. D., & Asyhari, A. T. (2023). Book spine matching with library collection using speeded up robust features. In I. Ari Elbaith Zaeni (Ed.), ICEEIE 2023 - International Conference on Electrical, Electronics and Information Engineering IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICEEIE59078.2023.10334671

@inproceedings{c134c541d13d4274bccb57a43d7b0282,

title = "Book spine matching with library collection using speeded up robust features",

abstract = "Misplaced books in libraries are an ongoing issue that impedes the efficient retrieval and organizing of books. However, the traditional way of regularly arranging a lot of books according to the classification number in the library costs a lot of time and the implementation of technology such as RFID (Radio Frequency Identification) is expensive. To provide insight and recommendations for libraries with the convenient and cheap method, the use of SURF (Speeded Up Robust Features) is implemented. SURF was implemented by analyzing the image data of some books on a shelf to know the location of the misplaced book when it is projected onto a bookshelf. The result, SURF could match the book spine of the misplaced book on the bookshelf. On the other hand, if it applied to the bookshelf there are a lot of similar books even though they come from different authors. It concludes that SURF could find the location of the book we want by matching the image.",

keywords = "Book spine, Image matching, Library collection, SURF",

author = "Imam Yuadi and Ullin Nihaya and Pratiwi, {Friska Dwi} and Asyhari, {A. Taufiq}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; International Conference on Electrical, Electronics and Information Engineering 2023, ICEEIE 2023 ; Conference date: 28-09-2023 Through 29-09-2023",

year = "2023",

doi = "10.1109/ICEEIE59078.2023.10334671",

language = "English",

isbn = "9798350340518",

editor = "{Ari Elbaith Zaeni}, Ilham",

booktitle = "ICEEIE 2023 - International Conference on Electrical, Electronics and Information Engineering",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

url = "https://ieeexplore.ieee.org/xpl/conhome/10334620/proceeding, https://www.aconf.org/conf_191155",

}

Yuadi, I, Nihaya, U, Pratiwi, FD & Asyhari, AT 2023, Book spine matching with library collection using speeded up robust features. in I Ari Elbaith Zaeni (ed.), ICEEIE 2023 - International Conference on Electrical, Electronics and Information Engineering. IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, International Conference on Electrical, Electronics and Information Engineering 2023, Malang City, Indonesia, 28/09/23. https://doi.org/10.1109/ICEEIE59078.2023.10334671

Book spine matching with library collection using speeded up robust features. / Yuadi, Imam; Nihaya, Ullin; Pratiwi, Friska Dwi et al.
ICEEIE 2023 - International Conference on Electrical, Electronics and Information Engineering. ed. / Ilham Ari Elbaith Zaeni. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2023.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research

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T1 - Book spine matching with library collection using speeded up robust features

AU - Yuadi, Imam

AU - Nihaya, Ullin

AU - Pratiwi, Friska Dwi

AU - Asyhari, A. Taufiq

N1 - Conference code: 8th

PY - 2023

Y1 - 2023

N2 - Misplaced books in libraries are an ongoing issue that impedes the efficient retrieval and organizing of books. However, the traditional way of regularly arranging a lot of books according to the classification number in the library costs a lot of time and the implementation of technology such as RFID (Radio Frequency Identification) is expensive. To provide insight and recommendations for libraries with the convenient and cheap method, the use of SURF (Speeded Up Robust Features) is implemented. SURF was implemented by analyzing the image data of some books on a shelf to know the location of the misplaced book when it is projected onto a bookshelf. The result, SURF could match the book spine of the misplaced book on the bookshelf. On the other hand, if it applied to the bookshelf there are a lot of similar books even though they come from different authors. It concludes that SURF could find the location of the book we want by matching the image.

AB - Misplaced books in libraries are an ongoing issue that impedes the efficient retrieval and organizing of books. However, the traditional way of regularly arranging a lot of books according to the classification number in the library costs a lot of time and the implementation of technology such as RFID (Radio Frequency Identification) is expensive. To provide insight and recommendations for libraries with the convenient and cheap method, the use of SURF (Speeded Up Robust Features) is implemented. SURF was implemented by analyzing the image data of some books on a shelf to know the location of the misplaced book when it is projected onto a bookshelf. The result, SURF could match the book spine of the misplaced book on the bookshelf. On the other hand, if it applied to the bookshelf there are a lot of similar books even though they come from different authors. It concludes that SURF could find the location of the book we want by matching the image.

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Y2 - 28 September 2023 through 29 September 2023

ER -

Book spine matching with library collection using speeded up robust features

Abstract

Conference

Keywords

Access to Document

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Cite this