JOURNAL ARTICLE

A Robust and Fast Dewarping Method of Document Images

Abstract

Document image distortion often appears when captured by the camera; this may induce recognition mistakes by OCR. In this paper, a robust and fast dewarping method of document images is proposed. Compared with traditional method, the computation of the correction baseline and the distance for vertical displace in this method is independent of the document's content, so it can guarantee the precision of words' slope and make all words be align with the same line. The computation complexity of the algorithm is discussed at the end of this paper, and comparative experiments with traditional method are made. The experimental results show that the proposed algorithm is efficient and robust.

Keywords:
Computation Distortion (music) Computer science Document image processing Artificial intelligence Image (mathematics) Computer vision Robustness (evolution) Line (geometry) Pattern recognition (psychology) Algorithm Image segmentation Mathematics

Metrics

7
Cited By
0.32
FWCI (Field Weighted Citation Impact)
8
Refs
0.61
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image and Object Detection Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Optical measurement and interference techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image and Video Stabilization
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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