Texture approach for nets extraction application to old Arab newspapers images structuring

Charrada, Mohamed Aymen; Amara, Najoua Essoukri Ben

doi:10.1109/ipta.2012.6469530

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…Since all the images present in the documents of our database admit a rectangular form and are surrounded by white zones of pixels and since the Gabor filter allow to detect the segments, the discontinuitiesand the rectilinear zones of transitions of grayscale levels which correspond to its orientation support, and mainly for 0° and 90°, we decided to exploit our approach of the net extraction described in [24,25] for the generation of the horizontal and vertical gray level transition images. Once these two images are occurred, we generate the connected component image using the resulting image from the previous classification phase.…”

Section: ) Correction Of the Image Segmentation Resultsmentioning

confidence: 99%

Image Extracting from Ancient Arab Documents with Complex Structures

Charrada¹

2014

IJCDS

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Section: ) Correction Of the Image Segmentation Resultsmentioning

confidence: 99%

Image Extracting from Ancient Arab Documents with Complex Structures

Charrada¹

2014

IJCDS

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“…Charrada and Ben Amara extracted nets from ancient Arab periodicals by exploring Gabor filters [48]. Zhong and Cheriet used the dimensionally reduced multi-channel Gabor filters for text block identification on image patches from ancient documents [49].…”

Section: Gabor Featuresmentioning

confidence: 99%

Use of SLIC superpixels for ancient document image enhancement and segmentation

et al. 2015

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Designing reliable and fast segmentation algorithms of ancient documents has been a topic of major interest for many libraries and the prime issue of research in the document analysis community. Thus, we propose in this article a fast ancient document enhancement and segmentation algorithm based on using Simple Linear Iterative Clustering (SLIC) superpixels and Gabor descriptors in a multi-scale approach. Firstly, in order to obtain enhanced backgrounds of noisy ancient documents, a novel foreground/background segmentation algorithm based on SLIC superpixels, is introduced. Once, the SLIC technique is carried out, the background and foreground superpixels are classified. Then, an enhanced and non-noisy background is achieved after processing the background superpixels. Subsequently, Gabor descriptors are only extracted from the selected foreground superpixels of the enhanced gray-level ancient book document images by adopting a multi-scale approach. Finally, for ancient document image segmentation, a foreground superpixel clustering task is performed by partitioning Gabor-based feature sets into compact and well-separated clusters in the feature space. The proposed algorithm does not assume any a priori information regarding document image content and structure and provides interesting results on a large corpus of ancient documents. Qualitative and numerical experiments are given to demonstrate the enhancement and segmentation quality.

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“…Figure 1 shows an example of images taken from our database. In fact, this image database has been used to validate a set of works performed within our research unit, treating various themes which relate to pretreatment [3], enhancement [13], segmentation [14,15,16] and indexation [17] of old documents. Each of these works operate on a defmite class of historical documents which have obliged us to classify and to annotate images of our database to provide quick and fluid access to the treated documents and which makes the reducing of the time access to the images of the existing documents possible.…”

Section: B Database Conceptionmentioning

confidence: 99%

Development of a database with ground truth for old documents analysis

Charrada

Amara

2013

10th International Multi-Conferences on Systems, Signals &Amp; Devices 2013 (SSD13)

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Standard databases play essential roles for evaluating and comparing results obtained by different groups of researchers. In this paper, a database of images derived from the Tunisian heritage is introduced. We present first the importance of digitization for the preservation and the protection of patrimonial collections. Then, we describe the development process of our database, intended for the analysis of historical document images, in collaboration with the National Archives of Tunisia. In the second place, we demonstrate the importance of the ground truth for image databases and the annotation impact of these images. Thus, we present our approach for images annotation which consists in producing manually and collectively keywords for each image.

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Texture approach for nets extraction application to old Arab newspapers images structuring

Cited by 4 publications

References 10 publications

Image Extracting from Ancient Arab Documents with Complex Structures

Image Extracting from Ancient Arab Documents with Complex Structures

Use of SLIC superpixels for ancient document image enhancement and segmentation

Development of a database with ground truth for old documents analysis

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