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Document image analysis: What is missing? [PDF]

, 1995
The conversion of documents into electronic form has proved more difficult than anticipated. Document image analysis still accounts for only a small fraction of the rapidly-expanding document imaging market. Nevertheless, the optimism manifested over the last thirty years has not dissipated.
George Nagy
openalex   +3 more sources

Human-Document Interaction Systems -- A New Frontier for Document Image Analysis [PDF]

2016 12th IAPR Workshop on Document Analysis Systems (DAS), 2016
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component
Dimosthenis Karatzas, Vincent Poulain D'Andecy, Marçal Rusiñol, Antonio Chica, Pere-Pau Vázquez Alcocer   +4 more
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Comparative Semantic Document Layout Analysis for Enhanced Document Image Retrieval

IEEE 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

Feature Approach for Printed Document Image Analysis [PDF]

, 2002
This paper presents advances in zone classification for printed document image analysis. It firstly introduces entropic heuristic for text separation problem. Then a brief recall on existing texture and geometric discriminant parameters proposed in a previous research is done.
Jean Duong, Myrian Côté, Hubert Emptoz
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Document image analysis and recognition: a survey

Компьютерная 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, E.I. Andreeva, K.B. Bulatov, D.P. Nikolaev, O.O. Petrova, B.I. Savelev, O.A. Slavin   +6 more
doaj   +1 more source

Cross-Depicted Historical Motif Categorization and Retrieval with Deep Learning

Journal 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, Michele Alberti, Nicole Eichenberger, Rolf Ingold, Marcus Liwicki   +4 more
doaj   +1 more source

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

Journal 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, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal   +4 more
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Fast Binarization of Unevenly Illuminated Document Images Based on Background Estimation for Optical Character Recognition Purposes [PDF]

Journal 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

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, Khairun Saddami, Khairul Munadi   +2 more
doaj   +1 more source

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

Data 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, Muhammad Jaleed Khan, Muhammad Asad, Haris Ahmad Khan, Khurram Khurshid   +4 more
doaj   +1 more source