Towards Automated Book Identification and Cataloguing for an Online Library

We are in the era where people prefer the use of technology instead of traditional sources and are upgrading from real world approaches to virtual reality. An approach is made to create an online library, in which a model of the real world library is built, that provides features for the user to navigate into the library and not only select a book to read but also explore other books while navigating through it. The users can look around and browse books from the interactive library through a web browser, resulting in saving the time consumed for travelling. To detect a book of interest in the online library, our work focus on choosing an appropriate feature matching algorithm and further draw a boundary box on the book detected. The SURF algorithm provides better matching results compared to other feature detectors.