Image recognition with deep learning for library book identification

Abstract

Book identification system is one of the core parts of a book sorting system. And the efficiency and accuracy of book identification are extremely critical to all libraries. This paper proposes a new image recognition method to identify books in libraries based on barcode decoding together with deep learning optical character recognition (OCR) and describes its application in library book identification system. The identification process relies on recognition of the images or videos of the book cover moving on a conveyor belt. Barcode is printed on or attached to the surface of each book. Deep learning OCR program is applied to improve the accuracy of recognition, especially when the barcode is blurred or faded. Book sorting system design based on this method will also be introduced. Experiment demonstrates that the accuracy of our method is high in real-time test and achieve good accuracy even when the barcode is blurred.