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

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

2 Atıf (Scopus)

Özet

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.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıUBMK 2018 - 3rd International Conference on Computer Science and Engineering
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar504-508
Sayfa sayısı5
ISBN (Elektronik)9781538678930
DOI'lar
Yayın durumuYayınlandı - 6 Ara 2018
Harici olarak yayınlandıEvet
Etkinlik3rd International Conference on Computer Science and Engineering, UBMK 2018 - Sarajevo, Bosnia and Herzegovina
Süre: 20 Eyl 201823 Eyl 2018

Yayın serisi

AdıUBMK 2018 - 3rd International Conference on Computer Science and Engineering

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???event.eventtypes.event.conference???3rd International Conference on Computer Science and Engineering, UBMK 2018
Ülke/BölgeBosnia and Herzegovina
ŞehirSarajevo
Periyot20/09/1823/09/18

Bibliyografik not

Publisher Copyright:
© 2018 IEEE.

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