Document Image Rectification Method Based on Lines Space

Abstract

Focusing on complicated and costly problems caused by segmentation of words or characters in document rectification algorithm based on 2D image processing techniques,this paper proposes an improved rectification algorithm.Firstly,it applies modified region growing method to search lines space,which implements the segmentation between lines and gets warped line images.Then it uses improved two-pass scanning method labels characters 4-connected components on each of curving line images,and uses least-squares to line base points to fit degree three polynomial.Finally,it straightens polynomial curve and stitches a whole image.Experiments on OCR and comparison with other methods show that the proposed algorithm can improve recognition ratio and produce visually pleasing output.