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20142023
most citedExtraction of Projection Profile, Run-Histogram and Entropy Features Straight from Run-Length Compressed Text-Documents

27 citations · 87 across the 23 of their papers we have counts for

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Showing 2014Show all

7 papers · 1 filter

cs.CV2014★ 2 cited

Direct Processing of Document Images in Compressed Domain

Mohammed Javed, P. Nagabhushan, B. B. Chaudhuri

With the rapid increase in the volume of Big data of this digital era, fax documents, invoices, receipts, etc are traditionally subjected to compression for the efficiency of data…

cs.CV2014★ 1 cited

Automatic Removal of Marginal Annotations in Printed Text Document

Abdessamad Elboushaki, Rachida Hannane, P. Nagabhushan +1

Recovering the original printed texts from a document with added handwritten annotations in the marginal area is one of the challenging problems, especially when the original docum…

cs.CV2014★ 9 cited

Entropy Computation of Document Images in Run-Length Compressed Domain

P. Nagabhushan, Mohammed Javed, B. B. Chaudhuri

Compression of documents, images, audios and videos have been traditionally practiced to increase the efficiency of data storage and transfer. However, in order to process or carry…

cs.CV2014★ 27 cited

Extraction of Projection Profile, Run-Histogram and Entropy Features Straight from Run-Length Compressed Text-Documents

Mohammed Javed, P. Nagabhushan, B. B. Chaudhuri

Document Image Analysis, like any Digital Image Analysis requires identification and extraction of proper features, which are generally extracted from uncompressed images, though i…

cs.CV2014★ 19 cited

Extraction of Line Word Character Segments Directly from Run Length Compressed Printed Text Documents

Mohammed Javed, P. Nagabhushan, B. B. Chaudhuri

Segmentation of a text-document into lines, words and characters, which is considered to be the crucial pre-processing stage in Optical Character Recognition (OCR) is traditionally…

cs.CV2014★ 8 cited

Automatic Detection of Font Size Straight from Run Length Compressed Text Documents

Mohammed Javed, P. Nagabhushan, B. B. Chaudhuri

Automatic detection of font size finds many applications in the area of intelligent OCRing and document image analysis, which has been traditionally practiced over uncompressed doc…