Results 31 to 40 of about 2,296,500 (293)
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
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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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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A Novel Adaptive Deskewing Algorithm for Document Images
Sensors, 2022 Document scanning often suffers from skewing, which may seriously influence the efficiency of Optical Character Recognition (OCR). Therefore, it is necessary to correct the skewed document before document image information analysis.
Wuzhida Bao +6 more
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Document Image Quality Assessment: A Survey
ACM Computing Surveys, 2023 The rapid emergence of new portable capturing technologies has significantly increased the number and diversity of document images acquired for business and personal applications.
Alireza Alaei +3 more
semanticscholar +1 more source
Unsupervised Exemplar-Based Learning for Improved Document Image Classification
IEEE Access, 2019 Many recent state-of-the-art approaches for document image classification are based on supervised feature learning that requires a large amount of labeled training data.
Sherif Abuelwafa +2 more
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A new Approach for Detection and ExtractionTables in Scanned Document Image using Improved Hough Transform [PDF]
Engineering and Technology Journal, 2016 In this paper, an improvement approach of Hough transform for tables detection and extraction from scanned document images is achieved as one of the main stages in document recognition to recognize between original and faked documents.
Hasanen S. Abdullah, Ammar H. Jasim
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Cascade Network with Deformable Composite Backbone for Formula Detection in Scanned Document Images
Applied Sciences, 2021 This paper presents a novel architecture for detecting mathematical formulas in document images, which is an important step for reliable information extraction in several domains. Recently, Cascade Mask R-CNN networks have been introduced to solve object
Khurram Azeem Hashmi +4 more
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