Removing Geometrical Distortion of Documents using Geometry of text lines

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Tolou Beidokhti Mohammad Amin; ahmadifard alireza

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Journal Paper

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Journal: SIGNAL AND DATA PROCESSING Year:2017 | Volume:14 | Issue:2 (serial 32) Page(s): 141-158

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Information Journal Paper

Title

Removing Geometrical Distortion of Documents using Geometry of text lines

Author(s)

Tolou Beidokhti Mohammad Amin | ahmadifard alireza | Issue Writer Certificate

Keywords

Geometric distortionQ1

documents processingQ1

perspective TransformQ1

Optical character recognition (OCR)Q1

Abstract

Document images produced by scanner or digital camera, usually have geometric and photometric distortions. Existence of either type of distortion, deteriorate the performance of OCR systems. In this paper, we present a novel method to eliminate Geometric distortion from document images. In the proposed method to eliminate the Geometric distortion, first text lines are extracted from image, then each line is broken into equal-width columns. For each extracted segment from a line, its direction is corrected in such a way that the segment lies in horizontal direction. For this aim, for each different rotation of text segment, horizontal projection of its image is calculated and rotation which causes maximum of projection is considered as corrected direction of that segment and based on this, for each line segment parallel to horizon, a reference point, which is introduced as base direction, is extracted. Using reference points of each line segment, a polynomial is fitted to the text line. At the end, Geometric distortion of each part of a text line is eliminated using a perspective Transform which is estimated based on the extracted polynomial function. To increase the stability of the proposed method for short text lines, the curve fitting is performed using reference information for adjacent long lines. The proposed method is implemented on Persian and English databases and has been compared with the existing methods. The results indicate the efficiency and accuracy of the proposed method in elimination of Geometric distortions.

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APA: Copy

Tolou Beidokhti, Mohammad Amin, & ahmadifard, alireza. (2017). Removing Geometrical Distortion of Documents using Geometry of text lines. SIGNAL AND DATA PROCESSING, 14(2 (serial 32) ), 141-158. SID. https://sid.ir/paper/160757/en

Vancouver: Copy

Tolou Beidokhti Mohammad Amin, ahmadifard alireza. Removing Geometrical Distortion of Documents using Geometry of text lines. SIGNAL AND DATA PROCESSING[Internet]. 2017;14(2 (serial 32) ):141-158. Available from: https://sid.ir/paper/160757/en

IEEE: Copy

Mohammad Amin Tolou Beidokhti, and alireza ahmadifard, “Removing Geometrical Distortion of Documents using Geometry of text lines,” SIGNAL AND DATA PROCESSING, vol. 14, no. 2 (serial 32) , pp. 141–158, 2017, [Online]. Available: https://sid.ir/paper/160757/en

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