Results 31 to 40 of about 39,490,265 (332)
Journal of Imaging, 2021 Analysis of degraded ancient documents is challenging due to the severity and combination of degradation present in a single image. Ancient documents also suffer from additional noise during the digitalization process, particularly when digitalization is
Fitri Arnia +2 more
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DocSynth: A Layout Guided Approach for Controllable Document Image Synthesis [PDF]
IEEE International Conference on Document Analysis and Recognition, 2021 Despite significant progress on current state-of-the-art image generation models, synthesis of document images containing multiple and complex object layouts is a challenging task.
Sanket Biswas +3 more
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Automated analysis of images in documents for intelligent document search [PDF]
International Journal on Document Analysis and Recognition (IJDAR), 2009 Authors use images to present a wide variety of important information in documents. For example, two-dimensional (2-D) plots display important data in scientific publications. Often, end-users seek to extract this data and convert it into a machine-processible form so that the data can be analyzed automatically or compared with other existing data ...
Xiaonan Lu +5 more
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FADIT: Fast Document Image Thresholding
Algorithms, 2020 We propose a fast document image thresholding method (FADIT) and evaluations of the two classic methods for demonstrating the effectiveness of FADIT. We put forward two assumptions: (1) the probability of the occurrence of grayscale text and background ...
Yufang Min, Yaonan Zhang
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PHTI: Pashto Handwritten Text Imagebase for Deep Learning Applications
IEEE Access, 2022 Document Image Analysis (DIA) is one of the research areas of Artificial Intelligence (AI) that converts document images into machine-readable codes. In DIA systems, Optical Character Recognition (OCR) plays a key role in digitizing document images.
Ibrar Hussain +5 more
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PCA-Initialized Deep Neural Networks Applied to Document Image Analysis [PDF]
IEEE International Conference on Document Analysis and Recognition, 2017 In this paper, we present a novel approach for initializing deep neural networks, i.e., by using Principal Component Analysis (PCA) to initialize neural layers.
Mathias Seuret +3 more
semanticscholar +1 more source
IEEE Access, 2021 The textual data of a document is supplemented by the graphical information in it. To make communication easier, they contain tables, charts and images. However, it excludes a section of our population - the visually impaired.
K. C. Shahira, A. Lijiya
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Analysis of Convolutional Neural Networks for Document Image Classification [PDF]
IEEE International Conference on Document Analysis and Recognition, 2017 Convolutional Neural Networks (CNNs) are state-of-the-art models for document image classification tasks. However, many of these approaches rely on parameters and architectures designed for classifying natural images, which differ from document images ...
Chris Tensmeyer, Tony R. Martinez
semanticscholar +1 more source
Toward Semi-Supervised Graphical Object Detection in Document Images
Future Internet, 2022 The graphical page object detection classifies and localizes objects such as Tables and Figures in a document. As deep learning techniques for object detection become increasingly successful, many supervised deep neural network-based methods have been ...
Goutham Kallempudi +5 more
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Madonne: Document Image Analysis Techniques for Cultural Heritage Documents [PDF]
, 2006 This paper presents the Madonne project, a French initiative to use document image analysis techniques for the purpose of preserving and exploiting heritage ...
Ogier, Jean-Marc, Tombre, Karl
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