A Haar Classifier Based Call Number Detection and Counting Method for Library Books Article Swipe
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1109/ubmk.2018.8566314
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.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/ubmk.2018.8566314
- OA Status
- gold
- Cited By
- 2
- References
- 15
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2904002314
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2904002314Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/ubmk.2018.8566314Digital Object Identifier
- Title
-
A Haar Classifier Based Call Number Detection and Counting Method for Library BooksWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2018Year of publication
- Publication date
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2018-09-01Full publication date if available
- Authors
-
Ali Buğra Kanburoğlu, F. Boray TekList of authors in order
- Landing page
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https://doi.org/10.1109/ubmk.2018.8566314Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
-
https://hdl.handle.net/11729/1452Direct OA link when available
- Concepts
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Computer science, Haar-like features, Artificial intelligence, Classifier (UML), Haar, Feature extraction, Pattern recognition (psychology), False positive rate, Task (project management), Face detection, Engineering, Facial recognition system, Wavelet, Systems engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
- Citations by year (recent)
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2020: 2Per-year citation counts (last 5 years)
- References (count)
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15Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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