Scraps of Paper Splicing Recovery Model
Jihua Li, Xinfeng Kong, Chunmei Fu · 2014
The main purpose of this paper is to explore how the paper scraps of neat edges could be restored. First, we can obtain the paper scraps of neat edges after cross cut and then length cut. With the help of the image-processing software, Matlab, we can transfer the images into corresponding matrix, and then binarize the matrix and get the 0-1 matrix. We classify the paper scraps with the same location features using cluster analysis. Then we match the first column and the last column in certain pixel matrix with the corresponding columns in other pixel matrix based on the edge matching. According to the edge matching, we determine the order of the pictures, splice them and then check them with necessary manual adjustment, so we get the transverse paper. Finally, the same method can be applied to the transverse paper while we match the lines instead of the columns and then we get the restored paper after manual ad- justment.