Warped Document Image Correction Based on Checkboard Pattern and Geometric Transformation | ||||
| IJCI. International Journal of Computers and Information | ||||
| Article 3, Volume 8, Issue 1, May 2021, Page 30-54 PDF (1.45 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/ijci.2021.53176.1036 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Marian Wagdy Labib  1; Khalid M. Amin 2; mina ibrahim3
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| 1Faculty of Computers and Information, Menofia Univesity | ||||
| 2Information technology dept., Faculty of computers and information, Menofia university | ||||
| 3information technology department, faculty of computers and information | ||||
| Abstract | ||||
| Abstract— Document image warping problem refers to the process of geometrically transforming 2D images. In this work we aim to solve the warped document image problems. The idea of the proposed method is inspired from the concept of image registration to align two images (distorted document and undistorted ground truth checkboard). In this paper, we propose document image dewarping method based on checkboard calibration pattern and geometric transformation. Some pairs of control points are selected between the two images to define the mapping function between them. The dewarping process transforms the warped document image according to the geometric transformation defined by the calculated mapping function. Results on document dewarping dataset CBDAR 2007 demonstrate the success of our strategy. OCR (Optical Character Recognition) error metrics are also used to gauge the success of the suggested approach. Based on the quantitative and qualitative metrics the proposed method outperforms the compared state of the art method. | ||||
| Keywords | ||||
| Warped document image; image registration; polynomial coefficient; least square method; OCR error measure | ||||
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