Page layout analyser for multilingual Indian documents

Chaudhuri, A. Ray; Mandal, Animesh; Chaudhuri, B. B.

doi:10.1109/lec.2002.1182287

Cited by 14 publications

(8 citation statements)

References 8 publications

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“…Most frequent approaches are the one based on components analysis [21][22] [23][6] [7]. In [24], authors have used an hybrid approach with connected components analysis as well as edges.…”

Section: Related Workmentioning

confidence: 99%

Text Extraction in Document Images: Highlight on Using Corner Points

Yadav

Ragot

2016

2016 12th IAPR Workshop on Document Analysis Systems (DAS)

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During past years, text extraction in document images has been widely studied in the general context of Document Image Analysis (DIA) and especially in the framework of layout analysis. Many existing techniques rely on complex processes based on preprocessing, image transforms or component/edges extraction and their analysis. At the same time, text extraction inside videos has received an increased interest and the use of corner or key points has been proven to be very effective. Because it is noteworthy to notice that very few studies were performed on the use of corner points for text extraction in document images, we propose in this paper to evaluate the possibilities associated with this kind of approach for DIA. To do that, we designed a very simple technique based on FAST key points. A first stage divide the image into blocks and the density of points inside each one is computed. The more dense ones are kept as text blocks. Then, connectivity of blocks is checked to group them and to obtain complete text blocks. This technique has been evaluated on different kind of images: different languages (Telugu, Arabic, French), handwritten as well as typewritten, skewed documents, images at different resolution and with different kind and amount of noises (deformations, ink dot, bleed through, acquisition (blur, resolution)), etc. Even with fixed parameters for all such kind of documents images, the precision and recall are close or higher to 90% which makes this basic method already effective. Consequently, even if the proposed approach does not propose a breakthrough from theoretical aspects, it highlights that accurate text extraction could be achieved without complex approach. Moreover, this approach could also be easily improved to be more precise, robust and useful for more complex layout analysis.

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“…Most frequent approaches are the one based on components analysis [21][22] [23][6] [7]. In [24], authors have used an hybrid approach with connected components analysis as well as edges.…”

Section: Related Workmentioning

confidence: 99%

Text Extraction in Document Images: Highlight on Using Corner Points

Yadav

Ragot

2016

2016 12th IAPR Workshop on Document Analysis Systems (DAS)

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“…As we are dealing with the newspaper images the dimension and scanning dpi parameters increases the computational cost even further which makes the process unscalable. The languages such as Hindi and Bangla are structurally different than English [7]. They are comprised of special characteristics like: Shirurekha (horizontal line on the upper part), lower zone modifiers and upper zone modifiers.…”

Section: A Modified Bottom Up Approachmentioning

confidence: 99%

Document layout analysis for Indian newspapers using contour based symbiotic approach

Singh

Kumar

2014

2014 International Conference on Computer Communication and Informatics

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Document layout analysis is necessary process for automated document recognition systems. Document layout analysis identifies, categorizes and labels the semantics of text blocks for meaningful information retrieval from document images. Our primary target document includes various newspaper and magazine pages which are having complex layout without following any static rules. We propose an effective approach for document layout analysis where power of bottom up approach and top-down approach i.e. region growing and segmentation respectively, have been utilized simultaneously. In this methodology various image morphological operations, contour analysis, connected component analysis, projection analysis are employed for the realization. The proposed algorithm has been successfully implemented and applied over a large number of Indian script newspaper and magazine pages. The results have been evaluated by number of blocks detected and taking their correct ordering information into account.

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“…Some page layout algorithms are: RLSA [19], RAST [20] etc. Existing page layout analyzers are described in [21]. An algorithmic approach is described in [22] with its limitation.…”

Section: Page Layout Analysismentioning

confidence: 99%

A Complete Workflow for Development of Bangla OCR

Omee¹,

Himel²,

Bikas³

2011

IJCA

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Developing a Bangla OCR requires bunch of algorithm and methods. There were many effort went on for developing a Bangla OCR. But all of them failed to provide an error free Bangla OCR. Each of them has some lacking. We discussed about the problem scope of currently existing Bangla OCR"s. In this paper, we present the basic steps required for developing a Bangla OCR and a complete workflow for development of a Bangla OCR with mentioning all the possible algorithms required.

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Page layout analyser for multilingual Indian documents

Cited by 14 publications

References 8 publications

Text Extraction in Document Images: Highlight on Using Corner Points

Text Extraction in Document Images: Highlight on Using Corner Points

Document layout analysis for Indian newspapers using contour based symbiotic approach

A Complete Workflow for Development of Bangla OCR

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