R
Ritu Garg
Researcher at Indian Institute of Technology Delhi
Publications - 14
Citations - 64
Ritu Garg is an academic researcher from Indian Institute of Technology Delhi. The author has contributed to research in topics: Graphics & Document layout analysis. The author has an hindex of 5, co-authored 14 publications receiving 61 citations. Previous affiliations of Ritu Garg include Indian Institutes of Technology.
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Proceedings ArticleDOI
A CRF Based Scheme for Overlapping Multi-colored Text Graphics Separation
TL;DR: A novel framework for segmentation of documents with complex layouts performed by combination of clustering and conditional random fields (CRF) based modeling and has been extensively tested on multi-colored document images with text overlapping graphics/image.
Proceedings ArticleDOI
Script based text identification: a multi-level architecture
TL;DR: The proposed framework presents a top-down approach by performing page, block/paragraph and word level script identification in multiple stages by utilizing texture and shape based information embedded in the documents at different levels for feature extraction.
Proceedings ArticleDOI
Automatic Selection of Parameters for Document Image Enhancement Using Image Quality Assessment
Ritu Garg,Santanu Chaudhury +1 more
TL;DR: A novel framework for automatic selection of optimal parameters for pre-processing algorithm by estimating the quality of the document image and compute parameters to maximize the expected recognition accuracy found in E-step.
Proceedings ArticleDOI
Camera and Light Source Placement: A Multi-Objective Approach
TL;DR: Multi-Objective Genetic Algorithm is used to maximize the camera coverage with optimum illumination of the sensing space and this paper outlines the camera and light source location optimization problem with multiple objective functions.
Proceedings ArticleDOI
An Integrated Scheme for Compression and Interactive Access to Document Images
TL;DR: An integrated scheme for document image compression is presented which preserves the layout structure, and still allows the display of textual portions to adapt to the user preferences and screen area, and derives an SVG representation of the complete document image.