OcrV1, Hal, Corpus, bibRecord, 000000

A Character Degradation Model for Color Document Images

Identifieur interne : 000000 ( Hal/Corpus ); suivant : 000001

A Character Degradation Model for Color Document Images

Auteurs : Do Thi Luyen ; Elodie Carel ; Jean-Marc Ogier ; Jean-Christophe Burie

Source :

RBID : Hal:hal-01188850

English descriptors

mix :
- Color noise model, Document Analysis.

Abstract

—Degradation models are widely used to create large datasets with ground-truth for designing optimal denoising algorithms , and to assess the performance of different document analysis and recognition methods (OCR, segmentation, and so on). Since the processing of document images is usually performed in grayscale or in black and white, some degradation models have been proposed in order to simulate noise on these specific images. However, there is a growing interest in the study of color document images. In this context, there is a real need of tools able to simulate the effects of noise on color for an evaluation purpose. In this paper, we propose to extend a model from the state-of-the-art to color document images. Our model includes three main steps. First, seed-points are selected depending on color information. Then, they are associated to different kinds of noise in order to simulate the degradation effect occurring on different content. Last, the values of pixels located inside an elliptic region around the seed points are modified in order to obtain degraded regions.

Url:

https://hal.archives-ouvertes.fr/hal-01188850

Links to Exploration step

Hal:hal-01188850

Le document en format XML

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<front><div type="abstract" xml:lang="en">—Degradation models are widely used to create large datasets with ground-truth for designing optimal denoising algorithms , and to assess the performance of different document analysis and recognition methods (OCR, segmentation, and so on). Since the processing of document images is usually performed in grayscale or in black and white, some degradation models have been proposed in order to simulate noise on these specific images. However, there is a growing interest in the study of color document images. In this context, there is a real need of tools able to simulate the effects of noise on color for an evaluation purpose. In this paper, we propose to extend a model from the state-of-the-art to color document images. Our model includes three main steps. First, seed-points are selected depending on color information. Then, they are associated to different kinds of noise in order to simulate the degradation effect occurring on different content. Last, the values of pixels located inside an elliptic region around the seed points are modified in order to obtain degraded regions.</div>
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<abstract xml:lang="en">—Degradation models are widely used to create large datasets with ground-truth for designing optimal denoising algorithms , and to assess the performance of different document analysis and recognition methods (OCR, segmentation, and so on). Since the processing of document images is usually performed in grayscale or in black and white, some degradation models have been proposed in order to simulate noise on these specific images. However, there is a growing interest in the study of color document images. In this context, there is a real need of tools able to simulate the effects of noise on color for an evaluation purpose. In this paper, we propose to extend a model from the state-of-the-art to color document images. Our model includes three main steps. First, seed-points are selected depending on color information. Then, they are associated to different kinds of noise in order to simulate the degradation effect occurring on different content. Last, the values of pixels located inside an elliptic region around the seed points are modified in order to obtain degraded regions.</abstract>
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A Character Degradation Model for Color Document Images

A Character Degradation Model for Color Document Images

Source :

English descriptors

Abstract

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri