Line Removal and Restoration of Handwritten Strokes

Arvind, K.R.; Kumar, J. R. Harish; Ramakrishnan, A. G.

doi:10.1109/iccima.2007.306

Cited by 23 publications

(15 citation statements)

References 1 publication

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“…Arvind, et al, proposed a rule-based method that first detected the ruling lines within segmented handwritten blocks by computing the horizontal projection profile [15]. Based on minimizing the profile entropy, the authors computed the skew angle and detected the positions of ruling lines by investigating the peak position in the horizontal projection file.…”

Section: Related Workmentioning

confidence: 99%

The Impact of Ruling Lines on Writer Identification

Chen

Lopresti

Kavallieratou

2010

2010 12th International Conference on Frontiers in Handwriting Recognition

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Abstract-Paper often includes pre-printed ruling lines to help people write more neatly. This particular example of realworld noise can have a serious impact on applications such as handwriting recognition and writer identification, however. In this work, we investigate the effects of ruling lines on writer ID. We study a method for detecting and removing ruling lines and test its utility for Arabic writer identification through a series of experiments. Our preliminary results show that under realistic assumptions where ruling lines are expected to have different properties across the collection, e.g., thickness, spacing, etc., removing them significantly improves identification performance. We conclude with a discussion of work-in-progress to examine followup questions raised by our initial investigations.

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Section: Related Workmentioning

confidence: 99%

The Impact of Ruling Lines on Writer Identification

Chen

Lopresti

Kavallieratou

2010

2010 12th International Conference on Frontiers in Handwriting Recognition

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“…Nevertheless, those attempts are not connected directly to the techniques presented below. There are works dealing with reconstruction of damaged handwritten characters as a result of graphics removal (e.g., see the works [17,18,19,20]). However, the deficiencies dealt with in these articles are relatively easy to model, in contrary to the case of natural deterioration processes.…”

Section: Introductionmentioning

confidence: 99%

Computer aided restoration of handwritten character strokes

Sober

Levin

2017

Computer-Aided Design

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This work suggests a new variational approach to the task of computer aided segmentation and restoration of incomplete characters, residing in a highly noisy document image. We model character strokes as the movement of a pen with a varying radius. Following this model, in order to fit the digital image, a cubic spline representation is being utilized to perform gradient descent steps, while maintaining interpolation at some initial (manually sampled) points. The proposed algorithm was used in the process of restoring approximately 1000 ancient Hebrew characters (dating to ca. 8 th -7 th century BCE), some of which are presented herein andshow that the algorithm yields plausible results when applied on deteriorated documents.

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“…The projection profiles were used by Arvind et al [9], where the peaks of the horizontal projection profile are considered as an estimation of the horizontal ruling lines. Next, the run-length of the line, if exceeds a threshold, will give more details.…”

Section: State Of the Artmentioning

confidence: 99%

“…A variety of algorithms for ruling line detection and removal have been proposed [1][2][3]. Many of the suggested algorithms concern specific type of document form [4][5], while others can fail in the presence of broken or skewed lines or in the case that text and ruling lines are extremely overlapped [6].…”

Section: Introductionmentioning

confidence: 99%

“…In the last case, a decision has to be made if a black pixel belongs to a line or a character, in order to turn it off or keep it on, respectively. Some techniques decide based on the line characteristics and the character contour analysis [7][8], while others intend to repair the characters, after the line removal [9]. Moreover, in many cases several parameters of the algorithms need to be appropriately tuned in order to increase the effectiveness.…”

Section: Introductionmentioning

confidence: 99%

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An image processing self-training system for ruling line removal algorithms

Prokopiou

Kavallieratou

Stamatatos

2013

2013 18th International Conference on Digital Signal Processing (DSP)

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Abstract-Ruling line removal is an important pre-processing step in document image processing. Several algorithms have been proposed for this task. However, it is important to be able to take full advantage of the existing algorithms by adapting them to the specific properties of a document image collection. In this paper, a system is presented, appropriate for fine-tuning the parameters of ruling line removal algorithms or appropriately adapt them to a specific document image collection, in order to improve the results. The application of our method to an existed line removal algorithms is presented.

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Line Removal and Restoration of Handwritten Strokes

Cited by 23 publications

References 1 publication

The Impact of Ruling Lines on Writer Identification

The Impact of Ruling Lines on Writer Identification

Computer aided restoration of handwritten character strokes

An image processing self-training system for ruling line removal algorithms

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