Use of Deep Learning in Digitization of Libraries

This is a proposed idea for the formation of digital databases, which contain information about all the books present in a library, without human intervention. We propose that deep learning is used to scan a book, extract its title and author and store the obtained information in a database which can later be accessed by the members of the library. An idea of how Hough Transform can be used to detect the boundaries of a book is elaborated. The main Deep Learning Techniques used are Convolutional Neural Networks, Recurrent Neural Networks. We have briefly explained the basic Artificial Intelligence concepts of Optical Character Recognition and Natural Language Processing. The complete mechanism of the proposed system and the problems or shortcomings of the system are discussed before the conclusion. We would like to conclude that by using the aforementioned practices we can develop a smart system to digitize book inventories and categorize the books on various fronts, without human intervention.