Results 11 to 20 of about 154,549 (310)
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
doaj +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
doaj +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
doaj +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
doaj +1 more source
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
doaj +1 more source
Investigating Attention Mechanism for Page Object Detection in Document Images
Applied Sciences, 2022 Page object detection in scanned document images is a complex task due to varying document layouts and diverse page objects. In the past, traditional methods such as Optical Character Recognition (OCR)-based techniques have been employed to extract ...
Shivam Naik +5 more
doaj +1 more source
Document Image Binarization Using Recurrent Neural Networks [PDF]
, 2018 In the context of document image analysis, image binarization is an important preprocessing step for other document analysis algorithms, but also relevant on its own by improving the readability of images of historical documents.
Lavesson, Niklas +8 more
core +1 more source
Document Image Retrieval Based on Visual Saliency Maps [PDF]
, 2019 There has been a massive growth in the production of various unstructured, complex and multi-lingual digitised documents in recent years. Storing and manipulating such digitised documents towards a paperless society has been the objective of emerging ...
Michael Blumenstein +7 more
core +1 more source
Handwritten Document Analysis for Automatic Writer Recognition
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2005 In this paper, we show that both the writer identification and the writer verification tasks can be carried out using local features such as graphemes extracted from the segmentation of cursive handwriting.
Ameur Bensefia +2 more
doaj +1 more source
Rethinking Learnable Proposals for Graphical Object Detection in Scanned Document Images
Applied Sciences, 2022 In the age of deep learning, researchers have looked at domain adaptation under the pre-training and fine-tuning paradigm to leverage the gains in the natural image domain.
Sankalp Sinha +5 more
doaj +1 more source