61 citations · 244 across the 21 of their papers we have counts for
18 papers · 1 filter
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…
DWT-CompCNN: Deep Image Classification Network for High Throughput JPEG 2000 Compressed Documents
Tejasvee Bisen, Mohammed Javed, Shashank Kirtania +1
For any digital application with document images such as retrieval, the classification of document images becomes an essential stage. Conventionally for the purpose, the full versi…
T2CI-GAN: Text to Compressed Image generation using Generative Adversarial Network
Bulla Rajesh, Nandakishore Dusa, Mohammed Javed +2
The problem of generating textual descriptions for the visual data has gained research attention in the recent years. In contrast to that the problem of generating visual data from…
Depth-wise layering of 3d images using dense depth maps: a threshold based approach
Seyedsaeid Mirkamali, P. Nagabhushan
Image segmentation has long been a basic problem in computer vision. Depth-wise Layering is a kind of segmentation that slices an image in a depth-wise sequence unlike the conventi…
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…
Monitoring of people entering and exiting private areas using Computer Vision
Vinay Kumar, P Nagabhushan
Entry-Exit surveillance is a novel research problem that addresses security concerns when people attain absolute privacy in camera forbidden areas such as toilets and changing room…
Appearance invariant Entry-Exit matching using visual soft biometric traits
Vinay Kumar, P Nagabhushan
The problem of appearance invariant subject recognition for Entry-Exit surveillance applications is addressed. A novel Semantic Entry-Exit matching model that makes use of ancillar…
Word and character segmentation directly in run-length compressed handwritten document images
Amarnath R, P. Nagabhushan, Mohammed Javed
From the literature, it is demonstrated that performing text-line segmentation directly in the run-length compressed handwritten document images significantly reduces the computati…
Automatic Text Line Segmentation Directly in JPEG Compressed Document Images
Bulla Rajesh, Mohammed Javed, P Nagabhushan
JPEG is one of the popular image compression algorithms that provide efficient storage and transmission capabilities in consumer electronics, and hence it is the most preferred ima…
Spotting Separator Points at Line Terminals in Compressed Document Images for Text-line Segmentation
Amarnath R, P. Nagabhushan
Line separators are used to segregate text-lines from one another in document image analysis. Finding the separator points at every line terminal in a document image would enable t…
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…
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…
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…
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…
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…
Direct Processing of Run Length Compressed Document Image for Segmentation and Characterization of a Specified Block
Mohammed Javed, P. Nagabhushan, B. B. Chaudhuri
Extracting a block of interest referred to as segmenting a specified block in an image and studying its characteristics is of general research interest, and could be a challenging…
GLCM-based chi-square histogram distance for automatic detection of defects on patterned textures
V. Asha, N. U. Bhajantri, P. Nagabhushan
Chi-square histogram distance is one of the distance measures that can be used to find dissimilarity between two histograms. Motivated by the fact that texture discrimination by hu…