A Model-based Book Dewarping Method Using Text Line Detection

In this paper, we propose a book dewarping model based on the assumption that the book surface is warped as a cylinder. This model extends the model proposed by Cao and makes Cao’s model a special case of our model. This extension removes the constraint of Cao’s model that the camera lens must be strictly parallel to the book surface, which is hard to make in practice, therefore enables a user to take a picture from different point of views conveniently. The main idea of the model is to build up the correspondence between a rectangle region on a flat surface and its curved region on the distorted book image and the dewarping task is to flatten the curved region to its original rectangle shape. The experimental results demonstrate the effectiveness of our proposed book dewarping approach.