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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   +2 more sources

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
doaj   +1 more source

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

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, Saurabh Kataria 0003, William J. Brouwer, James Ze Wang, Prasenjit Mitra, C. Lee Giles   +5 more
openaire   +1 more source

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, Riaz Ahmad, Siraj Muhammad, Khalil Ullah, Habib Shah, Abdallah Namoun   +5 more
doaj   +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
doaj   +1 more source

Towards Assisting the Visually Impaired: A Review on Techniques for Decoding the Visual Data From Chart Images

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