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14 May 2018 Book title recognition for smart library with deep learning
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A library usually holds thousands of books and each book is assigned to a unique position so that the visitors can find the books easily by checking the database of the library. However, the misplaced books bring troubles for readers to find them. Therefore, finding out these misplaced books and rearranging them is one of the important jobs for librarians. In this paper, a convolutional-neural-network-based book label recognition algorithm is proposed to help librarians finding out the misplaced books by scanning the book labels. The algorithm is divided into two parts: the first part applies image processing techniques to extract the characters of the labels attached to each book from the images of the bookshelves. The second part uses convolutional neural networks (CNNs) to train a classifier for recognizing characters. In this part, a CNN with four convolutional layers is designed to train classifiers for classifying characters and numbers that are used for the recognition of the text.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jinshan Tang, Ziming Wang, and Liang Lei "Book title recognition for smart library with deep learning", Proc. SPIE 10668, Mobile Multimedia/Image Processing, Security, and Applications 2018, 106680A (14 May 2018);

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