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

27 citations · 34 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20203 cited

A Quick Review on Recent Trends in 3D Point Cloud Data Compression Techniques and the Challenges of Direct Processing in 3D Compressed Domain

Mohammed Javed, MD Meraz, Pavan Chakraborty

Automatic processing of 3D Point Cloud data for object detection, tracking and segmentation is the latest trending research in the field of AI and Data Science, which is specifical…

cs.CV20201 cited

Automatic Page Segmentation Without Decompressing the Run-Length Compressed Text Documents

Mohammed Javed, P. Nagabhushan

Page segmentation is considered to be the crucial stage for the automatic analysis of documents with complex layouts. This has traditionally been carried out in uncompressed docume…

cs.CV20142 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.CV20141 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.CV201427 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…