Real-time page checking algorithm based on constant scale SIFT

Page-checking plays an important role in the automatic bookbinding process, which is essential for the efficiency of the automatic bookbinding and the quality of the printed books. In this paper, we propose a fast and accurate page-checking algorithm to meet the requirements of on-line and real-time inspection, which can be summarized as follows: the constant scale SIFT features of the page image are firstly extracted, then the sampling objects are localized based on the General Hough Transform and Least Square Methods, and finally the cross correlation between the sampling objects and the model objects is calculated to determine the inspection result. Experimental results illustrate that the proposed algorithm can achieve good performance on inspecting the content and orientation of the page image in real time.