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 dil | İngilizce |
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Ana bilgisayar yayını başlığı | UBMK 2018 - 3rd International Conference on Computer Science and Engineering |
Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
Sayfalar | 504-508 |
Sayfa sayısı | 5 |
ISBN (Elektronik) | 9781538678930 |
DOI'lar | |
Yayın durumu | Yayınlandı - 6 Ara 2018 |
Harici olarak yayınlandı | Evet |
Etkinlik | 3rd International Conference on Computer Science and Engineering, UBMK 2018 - Sarajevo, Bosnia and Herzegovina Süre: 20 Eyl 2018 → 23 Eyl 2018 |
Yayın serisi
Adı | UBMK 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 |
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Ülke/Bölge | Bosnia and Herzegovina |
Şehir | Sarajevo |
Periyot | 20/09/18 → 23/09/18 |
Bibliyografik not
Publisher Copyright:© 2018 IEEE.