27 citations · 31 across the 5 of their papers we have counts for
5 papers
CompTLL-UNet: Compressed Domain Text-Line Localization in Challenging Handwritten Documents using Deep Feature Learning from JPEG Coefficients
Bulla Rajesh, Sk Mahafuz Zaman, Mohammed Javed +1
Automatic localization of text-lines in handwritten documents is still an open and challenging research problem. Various writing issues such as uneven spacing between the lines, os…
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…
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…
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…
Texture Defect Detection in Gradient Space
V. Asha, N. U. Bhajantri, P. Nagabhushan
In this paper, we propose a machine vision algorithm for automatically detecting defects in patterned textures with the help of gradient space and its energy. Experiments on real f…