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Found 22 papers, 0 papers with code
CompTLL-UNet: Compressed Domain Text-Line Localization in Challenging Handwritten Documents using Deep Feature Learning from JPEG Coefficients
Automatic localization of text-lines in handwritten documents is still an open and challenging research problem.
DWT-CompCNN: Deep Image Classification Network for High Throughput JPEG 2000 Compressed Documents
For any digital application with document images such as retrieval, the classification of document images becomes an essential stage.
T2CI-GAN: Text to Compressed Image generation using Generative Adversarial Network
The first model is directly trained with JPEG compressed DCT images (compressed domain) to generate the compressed images from text descriptions.
Pinball-OCSVM for early-stage COVID-19 diagnosis with limited posteroanterior chest X-ray images
The performance of the proposed model is compared with conventional OCSVM and existing deep learning models, and the experimental results prove that the proposed model outperformed over state-of-the-art methods.
Depth-wise layering of 3d images using dense depth maps: a threshold based approach
The proposed Depth-wise Layering technique uses a single depth image of a static scene to slice it into multiple layers.
Automatic Page Segmentation Without Decompressing the Run-Length Compressed Text Documents
However, carrying out page segmentation directly in compressed documents without going through the stage of decompression is a challenging goal.
Target specific mining of COVID-19 scholarly articles using one-class approach
In recent years, several research articles have been published in the field of corona-virus caused diseases like severe acute respiratory syndrome (SARS), middle east respiratory syndrome (MERS) and COVID-19.
Appearance invariant Entry-Exit matching using visual soft biometric traits
The problem of appearance invariant subject recognition for Entry-Exit surveillance applications is addressed.
Word and character segmentation directly in run-length compressed handwritten document images
In this paper, we investigate the issues of word and character segmentation directly on the run-length compressed document images.
Monitoring of people entering and exiting private areas using Computer Vision
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 rooms that are basic amenities to the humans in public places such as Shopping malls, Airports, Bus and Rail stations.
Automatic Text Line Segmentation Directly in JPEG Compressed Document Images
The first approach is based on the strategy of partial decompression of selected DCT blocks, and the second approach is with intelligent analysis of F10 and F11 AC coefficients and without using any type of decompression.
Text line Segmentation in Compressed Representation of Handwritten Document using Tunneling Algorithm
The agent starts at a source point and progressively tunnels a path routing in between two adjacent text lines and reaches the probable target.
Spotting Separator Points at Line Terminals in Compressed Document Images for Text-line Segmentation
The value (depth) in the white column is very low when a particular line is a text line and the depth could be larger at the point of text line separation.
Direct Processing of Document Images in Compressed Domain
The different operations demonstrated are feature extraction; text-line, word and character segmentation; document block segmentation; and font size detection, all carried out in the compressed version of the document.
Automatic Removal of Marginal Annotations in Printed Text Document
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 document is not available.
Entropy Computation of Document Images in Run-Length Compressed Domain
Compression of documents, images, audios and videos have been traditionally practiced to increase the efficiency of data storage and transfer.
Extraction of Projection Profile, Run-Histogram and Entropy Features Straight from Run-Length Compressed Text-Documents
In this research, we propose to extract essential features such as projection profile, run-histogram and entropy for text document analysis directly from run-length compressed text-documents.
Extraction of Line Word Character Segments Directly from Run Length Compressed Printed Text Documents
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 carried out on uncompressed documents, although most of the documents in real life are available in compressed form, for the reasons such as transmission and storage efficiency.
Optical Character Recognition
Optical Character Recognition (OCR)
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Texture Defect Detection in Gradient Space
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.
Automatic Detection of Font Size Straight from Run Length Compressed Text Documents
In the proposed model, the given mixed-case text documents of different font size are segmented into compressed text lines and the features extracted such as line height and ascender height are used to capture the pattern of font size in the form of a regression line, using which the automatic detection of font size is done during the recognition stage.
Direct Processing of Run Length Compressed Document Image for Segmentation and Characterization of a Specified Block
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 if such a segmentation task has to be carried out directly in a compressed image.
Periodicity Extraction using Superposition of Distance Matching Function and One-dimensional Haar Wavelet Transform
Knowledge about periodicity of a texture is very essential in the field of texture synthesis and texture compression and also in the design of frieze and wall papers.
