Results 11 to 20 of about 35,378,370 (305)

Comparative Semantic Document Layout Analysis for Enhanced Document Image Retrieval

open access: yesIEEE Access
Tons of handwritten document images, either historical or continuously reproduced in everyday life, are information-rich, awaiting extensive advanced technological attention from academic and industrial communities.
Emad Sami Jaha
doaj   +2 more sources

A Review of Document Image Enhancement Based on Document Degradation Problem

open access: yesApplied Sciences (Switzerland), 2023
Document image enhancement methods are often used to improve the accuracy and efficiency of automated document analysis and recognition tasks such as character recognition.
Yanxi Zhou   +5 more
exaly   +3 more sources

Document image analysis and recognition: a survey

open access: yesКомпьютерная оптика, 2022
This paper analyzes the problems of document image recognition and the existing solutions. Document recognition algorithms have been studied for quite a long time, but despite this, currently, the topic is relevant and research continues, as evidenced by
V.V. Arlazarov   +6 more
doaj   +1 more source

A Survey of Historical Document Image Datasets [PDF]

open access: yes, 2022
This paper presents a systematic literature review of image datasets for document image analysis, focusing on historical documents, such as handwritten manuscripts and early prints.
Hamam Mokayed   +11 more
core   +1 more source

Cross-Depicted Historical Motif Categorization and Retrieval with Deep Learning

open access: yesJournal of Imaging, 2020
In this paper, we tackle the problem of categorizing and identifying cross-depicted historical motifs using recent deep learning techniques, with aim of developing a content-based image retrieval system. As cross-depiction, we understand the problem that
Vinaychandran Pondenkandath   +4 more
doaj   +1 more source

CasTabDetectoRS: Cascade Network for Table Detection in Document Images with Recursive Feature Pyramid and Switchable Atrous Convolution

open access: yesJournal of Imaging, 2021
Table detection is a preliminary step in extracting reliable information from tables in scanned document images. We present CasTabDetectoRS, a novel end-to-end trainable table detection framework that operates on Cascade Mask R-CNN, including Recursive ...
Khurram Azeem Hashmi   +4 more
doaj   +1 more source

Fast Binarization of Unevenly Illuminated Document Images Based on Background Estimation for Optical Character Recognition Purposes [PDF]

open access: yesJournal of Universal Computer Science, 2019
One of the key operations during the image preprocessing step in Optical Character Recognition (OCR) algorithms is image binarization. Although for uniformly illuminated images, obtained typically by atbed scanners, the use of a single global threshold ...
Hubert Michalak, Krzysztof Okarma
doaj   +3 more sources

DCNet: Noise-Robust Convolutional Neural Networks for Degradation Classification on Ancient Documents

open access: yesJournal 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
doaj   +1 more source

iVision HHID: Handwritten hyperspectral images dataset for benchmarking hyperspectral imaging-based document forensic analysis

open access: yesData in Brief, 2022
This article presents a dataset of hyperspectral images of handwriting samples collected from 54 individuals. The purpose of the presented dataset is to further explore the use of hyperspectral imaging in document image analysis and to benchmark the ...
Ammad Ul Islam   +4 more
doaj   +1 more source

Automated analysis of images in documents for intelligent document search [PDF]

open access: yesInternational 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
openaire   +2 more sources

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