A Haar Classifier Based Call Number Detection and Counting Method for Library Books Kütüphane Kitaplarinda Yer Numaralarini Bulmakve Saymakiç in HaarSiniflandirici Tabanlibir Yöntem

Ali Bugra Kanburoglu; F. Boray Tek

doi:10.1109/UBMK.2018.8566314

A Haar Classifier Based Call Number Detection and Counting Method for Library Books Kütüphane Kitaplarinda Yer Numaralarini Bulmakve Saymakiç in HaarSiniflandirici Tabanlibir Yöntem

Ali Bugra Kanburoglu
, F. Boray Tek

Isik University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

Counting and organization of books in libraries is a routine and time-consuming task. The task gets more complicated by misplaced books in shelves. In order to solve these problems, we propose an automated visual call number (book-id) detection and counting system in this paper. The method employs a Haar feature-based classifier from OpenCV library and cloud-based OCR system to decode characters from images. To develop and test the method, we have acquired and organized a dataset of 1000 book call numbers. The proposed method has been tested on 20 bookshelves images that contain 233 call numbers, which resulted in a true detection rate of 96% and false detection rate of 1.75 per image. For OCR step, the number of false recognized characters per call number was 0.76.

Original language	English
Title of host publication	UBMK 2018 - 3rd International Conference on Computer Science and Engineering
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	504-508
Number of pages	5
ISBN (Electronic)	9781538678930
DOIs	https://doi.org/10.1109/UBMK.2018.8566314
Publication status	Published - 6 Dec 2018
Externally published	Yes
Event	3rd International Conference on Computer Science and Engineering, UBMK 2018 - Sarajevo, Bosnia and Herzegovina Duration: 20 Sept 2018 → 23 Sept 2018

Publication series

Name	UBMK 2018 - 3rd International Conference on Computer Science and Engineering

Conference

Conference	3rd International Conference on Computer Science and Engineering, UBMK 2018
Country/Territory	Bosnia and Herzegovina
City	Sarajevo
Period	20/09/18 → 23/09/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

Call Number Detection
HAAR Classifier
Library Automation
OCR

Access to Document

10.1109/UBMK.2018.8566314

Cite this

Kanburoglu, A. B., & Tek, F. B. (2018). A Haar Classifier Based Call Number Detection and Counting Method for Library Books Kütüphane Kitaplarinda Yer Numaralarini Bulmakve Saymakiç in HaarSiniflandirici Tabanlibir Yöntem. In UBMK 2018 - 3rd International Conference on Computer Science and Engineering (pp. 504-508). Article 8566314 (UBMK 2018 - 3rd International Conference on Computer Science and Engineering). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UBMK.2018.8566314

Kanburoglu, Ali Bugra ; Tek, F. Boray. / A Haar Classifier Based Call Number Detection and Counting Method for Library Books Kütüphane Kitaplarinda Yer Numaralarini Bulmakve Saymakiç in HaarSiniflandirici Tabanlibir Yöntem. UBMK 2018 - 3rd International Conference on Computer Science and Engineering. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 504-508 (UBMK 2018 - 3rd International Conference on Computer Science and Engineering).

@inproceedings{da660a962cb44dcaa305eb66ff2fc902,

title = "A Haar Classifier Based Call Number Detection and Counting Method for Library Books K{\"u}t{\"u}phane Kitaplarinda Yer Numaralarini Bulmakve Saymaki{\c c} in HaarSiniflandirici Tabanlibir Y{\"o}ntem",

abstract = "Counting and organization of books in libraries is a routine and time-consuming task. The task gets more complicated by misplaced books in shelves. In order to solve these problems, we propose an automated visual call number (book-id) detection and counting system in this paper. The method employs a Haar feature-based classifier from OpenCV library and cloud-based OCR system to decode characters from images. To develop and test the method, we have acquired and organized a dataset of 1000 book call numbers. The proposed method has been tested on 20 bookshelves images that contain 233 call numbers, which resulted in a true detection rate of 96\% and false detection rate of 1.75 per image. For OCR step, the number of false recognized characters per call number was 0.76.",

keywords = "Call Number Detection, HAAR Classifier, Library Automation, OCR",

author = "Kanburoglu, \{Ali Bugra\} and Tek, \{F. Boray\}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 3rd International Conference on Computer Science and Engineering, UBMK 2018 ; Conference date: 20-09-2018 Through 23-09-2018",

year = "2018",

month = dec,

day = "6",

doi = "10.1109/UBMK.2018.8566314",

language = "English",

series = "UBMK 2018 - 3rd International Conference on Computer Science and Engineering",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "504--508",

booktitle = "UBMK 2018 - 3rd International Conference on Computer Science and Engineering",

address = "United States",

}

Kanburoglu, AB & Tek, FB 2018, A Haar Classifier Based Call Number Detection and Counting Method for Library Books Kütüphane Kitaplarinda Yer Numaralarini Bulmakve Saymakiç in HaarSiniflandirici Tabanlibir Yöntem. in UBMK 2018 - 3rd International Conference on Computer Science and Engineering., 8566314, UBMK 2018 - 3rd International Conference on Computer Science and Engineering, Institute of Electrical and Electronics Engineers Inc., pp. 504-508, 3rd International Conference on Computer Science and Engineering, UBMK 2018, Sarajevo, Bosnia and Herzegovina, 20/09/18. https://doi.org/10.1109/UBMK.2018.8566314

A Haar Classifier Based Call Number Detection and Counting Method for Library Books Kütüphane Kitaplarinda Yer Numaralarini Bulmakve Saymakiç in HaarSiniflandirici Tabanlibir Yöntem. / Kanburoglu, Ali Bugra; Tek, F. Boray.
UBMK 2018 - 3rd International Conference on Computer Science and Engineering. Institute of Electrical and Electronics Engineers Inc., 2018. p. 504-508 8566314 (UBMK 2018 - 3rd International Conference on Computer Science and Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Haar Classifier Based Call Number Detection and Counting Method for Library Books Kütüphane Kitaplarinda Yer Numaralarini Bulmakve Saymakiç in HaarSiniflandirici Tabanlibir Yöntem

AU - Kanburoglu, Ali Bugra

AU - Tek, F. Boray

PY - 2018/12/6

Y1 - 2018/12/6

N2 - Counting and organization of books in libraries is a routine and time-consuming task. The task gets more complicated by misplaced books in shelves. In order to solve these problems, we propose an automated visual call number (book-id) detection and counting system in this paper. The method employs a Haar feature-based classifier from OpenCV library and cloud-based OCR system to decode characters from images. To develop and test the method, we have acquired and organized a dataset of 1000 book call numbers. The proposed method has been tested on 20 bookshelves images that contain 233 call numbers, which resulted in a true detection rate of 96% and false detection rate of 1.75 per image. For OCR step, the number of false recognized characters per call number was 0.76.

AB - Counting and organization of books in libraries is a routine and time-consuming task. The task gets more complicated by misplaced books in shelves. In order to solve these problems, we propose an automated visual call number (book-id) detection and counting system in this paper. The method employs a Haar feature-based classifier from OpenCV library and cloud-based OCR system to decode characters from images. To develop and test the method, we have acquired and organized a dataset of 1000 book call numbers. The proposed method has been tested on 20 bookshelves images that contain 233 call numbers, which resulted in a true detection rate of 96% and false detection rate of 1.75 per image. For OCR step, the number of false recognized characters per call number was 0.76.

KW - Call Number Detection

KW - HAAR Classifier

KW - Library Automation

KW - OCR

UR - https://www.scopus.com/pages/publications/85060633008

U2 - 10.1109/UBMK.2018.8566314

DO - 10.1109/UBMK.2018.8566314

M3 - Conference contribution

AN - SCOPUS:85060633008

T3 - UBMK 2018 - 3rd International Conference on Computer Science and Engineering

SP - 504

EP - 508

BT - UBMK 2018 - 3rd International Conference on Computer Science and Engineering

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference on Computer Science and Engineering, UBMK 2018

Y2 - 20 September 2018 through 23 September 2018

ER -

Kanburoglu AB, Tek FB. A Haar Classifier Based Call Number Detection and Counting Method for Library Books Kütüphane Kitaplarinda Yer Numaralarini Bulmakve Saymakiç in HaarSiniflandirici Tabanlibir Yöntem. In UBMK 2018 - 3rd International Conference on Computer Science and Engineering. Institute of Electrical and Electronics Engineers Inc. 2018. p. 504-508. 8566314. (UBMK 2018 - 3rd International Conference on Computer Science and Engineering). doi: 10.1109/UBMK.2018.8566314

A Haar Classifier Based Call Number Detection and Counting Method for Library Books Kütüphane Kitaplarinda Yer Numaralarini Bulmakve Saymakiç in HaarSiniflandirici Tabanlibir Yöntem

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this