Arbitrary warped document image restoration based on segmentation and Thin-Plate Splines

Zhang, Yu; Liu, Changsong; Ding, Xiaoqing; Zou, Yanming

doi:10.1109/icpr.2008.4761528

Cited by 14 publications

(10 citation statements)

References 6 publications

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“…The majority of these rectification techniques [12]- [22] are based on the detection of distorted text lines at the original document image which is a well-known hard task. Some of these techniques propose a method to straighten distorted text lines by fitting a model to each text line.…”

Section: B Rectification Techniques Based On 2-d Document Image Procmentioning

confidence: 99%

“…The main disadvantage of this method is that it requires complex computation and, therefore, is time-consuming, while the assumption that a single cylinder fits to a deformed page is not generic. Finally, Y. Zhang et al [22] take a rough text line and character segmentation to estimate the warping direction. Then, a Thin-Plate Splines (TPS) interpolation is used to restore the image.…”

Section: B Rectification Techniques Based On 2-d Document Image Procmentioning

confidence: 99%

“…The use of OCR as a means for indirect evaluation is widely used in the evaluation of rectification techniques [14], [16]- [20], [22], [24]. Character accuracy is defined as the ratio of the number of correct characters (number of characters in the correct document transcription minus the number of errors) over the total number of characters in the correct document transcription (14) In order to define the errors we count the minimum number of edit operations (insertion, deletion or substitution) that are required to correct the text generated by the OCR system (string edit distance).…”

Section: A Ocr Evaluationmentioning

confidence: 99%

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Goal-Oriented Rectification of Camera-Based Document Images

Stamatopoulos

Gatos

Pratikakis

et al. 2011

IEEE Trans. on Image Process.

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Abstract-Document digitization with either flatbed scanners or camera-based systems results in document images which often suffer from warping and perspective distortions that deteriorate the performance of current OCR approaches. In this paper, we present a goal-oriented rectification methodology to compensate for undesirable document image distortions aiming to improve the OCR result. Our approach relies upon a coarse-to-fine strategy. First, a coarse rectification is accomplished with the aid of a computationally low cost transformation which addresses the projection of a curved surface to a 2-D rectangular area. The projection of the curved surface on the plane is guided only by the textual content's appearance in the document image while incorporating a transformation which does not depend on specific model primitives or camera setup parameters. Second, pose normalization is applied on the word level aiming to restore all the local distortions of the document image. Experimental results on various document images with a variety of distortions demonstrate the robustness and effectiveness of the proposed rectification methodology using a consistent evaluation methodology that encounters OCR accuracy and a newly introduced measure using a semi-automatic procedure.Index Terms-Document image analysis, document image processing, document image rectification, image dewarping.

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Section: B Rectification Techniques Based On 2-d Document Image Procmentioning

confidence: 99%

Section: B Rectification Techniques Based On 2-d Document Image Procmentioning

confidence: 99%

Section: A Ocr Evaluationmentioning

confidence: 99%

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Goal-Oriented Rectification of Camera-Based Document Images

Stamatopoulos

Gatos

Pratikakis

et al. 2011

IEEE Trans. on Image Process.

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“…This method is sensitive to large and various distortions. Y. Zhang et al [4] took a rough text line and character segmentation to estimate the warping direction. In this method text line and character segmentation using projections at the original wraped document can cause many segmentation errors.…”

Section: A Approaches Based On 2d Document Image Processingmentioning

confidence: 99%

Warped document restoration by recovering shape of the surface

Shamqoli

Khosravi

2013

2013 8th Iranian Conference on Machine Vision and Image Processing (MVIP)

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Document images produced by scanner or digital camera, usually suffer from two main distortions: geometric and photometric. Both of them deteriorate the performance of OCR systems. In this paper, we present a novel method to compensate for undesirable geometric distortions aiming to improve OCR results. Our methodology is based on low cost transformation which addresses the projection of curve line to 2-D rectangular area combined with finding text lines. Experimental results on several document images, indicate the effectiveness of the proposed method.

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“…Gatos and Pratikakis [5] achieved binary image dewarping based on word rotation and translation according to upper and lower word baselines. Moreover, [6] [7] and [8] are using the similar approaches for warped document restoring. The last is the 3D acquisition method.…”

Section: Introductionmentioning

confidence: 99%

Fast Restoration of Warped Document Image based on Text Rectangle Area Segmentation

Hsia

Lien²,

Su³

2013

JSW

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The warp problems usually make the documents being hardly recognized. Specifically, when we copy a page of a thick book or bound document by digital photocopier, the resulted image is usually warped because of the thickness of the document. We focus on this problem and propose a fast method to restore the warped document image in this paper. The text rectangle area of the document is one of the features of a document. The morphological operation is utilized for text rectangle area segmentation. The DLT method is used to compute the mapping relations between the warped document and the non-warped document. In experimental results, the proposed method works on high resolution image very quickly. The warping text and the figures in documents have been restored by the proposed method successfully. This method is efficiency and fast for implementing on the module of digital photocopier.

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Arbitrary warped document image restoration based on segmentation and Thin-Plate Splines

Cited by 14 publications

References 6 publications

Goal-Oriented Rectification of Camera-Based Document Images

Goal-Oriented Rectification of Camera-Based Document Images

Warped document restoration by recovering shape of the surface

Fast Restoration of Warped Document Image based on Text Rectangle Area Segmentation

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