Document dewarping via text-line based optimization

Kim, Beom Su; Koo, Hyung Il; Cho, Nam Ik

doi:10.1016/j.patcog.2015.04.026

Cited by 52 publications

(18 citation statements)

References 34 publications

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“…Meng et al [16] proposed another 3D shape reconstruction based method by isometric mesh construction assuming that the page shape is a general cylindrical surface (GCS). Assuming GCS form for camera captured digitized document images are proven to work well for modeling 3D shape of real documents [11]. Tian et al [29] proposed another 3D reconstruction based method using text region on the digitized documents.…”

Section: Parametric Reconstruction Based Approachesmentioning

confidence: 99%

Water-Filling: An Efficient Algorithm for Digitized Document Shadow Removal

Jung

Hasan

Kim

2019

Computer Vision – ACCV 2018

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0000−0001−7150−3746] , Muhammad Abul Hasan 2[0000−0002−1297−5054] , and Changick Kim 1[0000−0001−9323−8488]Abstract. In this paper, we propose a novel algorithm to rectify illumination of the digitized documents by eliminating shading artifacts. Firstly, a topographic surface of an input digitized document is created using luminance value of each pixel. Then the shading artifact on the document is estimated by simulating an immersion process. The simulation of the immersion process is modeled using a novel diffusion equation with an iterative update rule. After estimating the shading artifacts, the digitized document is reconstructed using the Lambertian surface model. In order to evaluate the performance of the proposed algorithm, we conduct rigorous experiments on a set of digitized documents which is generated using smartphones under challenging lighting conditions. According to the experimental results, it is found that the proposed method produces promising illumination correction results and outperforms the results of the state-of-the-art methods. [Codes available at : https://github.com/seungjun45/Water-Filling]

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Section: Parametric Reconstruction Based Approachesmentioning

confidence: 99%

Water-Filling: An Efficient Algorithm for Digitized Document Shadow Removal

Jung

Hasan

Kim

2019

Computer Vision – ACCV 2018

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“…The performance of the proposed approach is visually compared with three existing related techniques. We refer to these here as Kim‐method [21], Kil‐method [22] and Garai‐method [5]. For visual comparison, four sets of images are presented in Figs.…”

Section: Resultsmentioning

confidence: 99%

“… Preprocessed input image (

1 s t

column) and corresponding results using Kim et al [21] (

2 n d

column), Kil et al [22] (

3 r d

column), Garai et al [5] (

4 t h

column) and proposed method (

5 t h

column), respectively; images captured form (a) Paper hanging on a notice board, (b) Paper pasted on a Lamppost…”

Section: Resultsmentioning

confidence: 99%

“…The coordinates of each pixel of the document image are transformed according to the correspondence of that boundary and its approximated rectangular shape. Kim et al [21] have used discrete representation of text line instead of using the baseline calculated from the text line. They have applied their approach in each of the text blocks present in the document.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Automatic rectification of warped Bangla document images

Garai¹,

Biswas²,

Mandal³

et al. 2020

IET Image Processing

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“…Baseline detector is used to extract the appropriate local features of orientation. Kim et al [6] suggested a system based on discrete representation. The features of a text line were extracted.…”

Section: Related Workmentioning

confidence: 99%

Warped Document Image Correction Based on Checkboard Pattern and Geometric Transformation

Labib¹,

Amin²,

Ibrahim³

2021

IJCI. International Journal of Computers and Information

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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.

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Document dewarping via text-line based optimization

Cited by 52 publications

References 34 publications

Water-Filling: An Efficient Algorithm for Digitized Document Shadow Removal

Water-Filling: An Efficient Algorithm for Digitized Document Shadow Removal

Automatic rectification of warped Bangla document images

Warped Document Image Correction Based on Checkboard Pattern and Geometric Transformation

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