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Found 14 papers, 5 papers with code
IndicSTR12: A Dataset for Indic Scene Text Recognition
Several benchmark datasets and substantial work on deep learning models are available for Latin languages to meet this need.
Towards Robust Handwritten Text Recognition with On-the-fly User Participation
The service providers encourage the users who provide data where the OCR model fails by rewarding them based on data complexity, readability, and available budget.
Handwritten Text Recognition
Optical Character Recognition (OCR)
Enhancing Indic Handwritten Text Recognition Using Global Semantic Information
We use a semantic module in an encoder-decoder framework for extracting global semantic information to recognize the Indic handwritten texts.
Classroom Slide Narration System
With this information, we build a Classroom Slide Narration System (CSNS) to help VI students understand the slide content.
New Performance Measures for Object Tracking under Complex Environments
In this article, we propose three new auxiliary performance measures based on ground truth information to evaluate the quality of a developed tracking algorithm under such complex environments.
Visual Understanding of Complex Table Structures from Document Images
Tables in unstructured business documents are tough to parse due to the high diversity of layouts, varying alignments of contents, and the presence of empty cells.
Deep Neural Networks for Automatic Grain-matrix Segmentation in Plane and Cross-polarized Sandstone Photomicrographs
The microscopic images of sandstone contain many mineral grains and their surrounding matrix/cement.
Camouflaged Object Detection and Tracking: A Survey
In this article, we review the existing camouflaged object detection and tracking techniques using computer vision algorithms from the theoretical point of view.
Table Structure Recognition using Top-Down and Bottom-Up Cues
We present an approach for table structure recognition that combines cell detection and interaction modules to localize the cells and predict their row and column associations with other detected cells.
Ranked #9 on
Table Recognition
on PubTabNet
Graphical Object Detection in Document Images
Graphical elements: particularly tables and figures contain a visual summary of the most valuable information contained in a document.
CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images
Localizing page elements/objects such as tables, figures, equations, etc.
Ranked #1 on
Table Detection
on ICDAR2013
Textual Description for Mathematical Equations
Reading of mathematical expression or equation in the document images is very challenging due to the large variability of mathematical symbols and expressions.
IIIT-AR-13K: A New Dataset for Graphical Object Detection in Documents
This dataset, IIIT-AR-13k, is created by manually annotating the bounding boxes of graphical or page objects in publicly available annual reports.
State-of-The-Art Fuzzy Active Contour Models for Image Segmentation
In this article, our aim is to review the existing fuzzy active contour models from the theoretical point of view and also evaluate them experimentally on a large set of images under the various conditions.
