Results 11 to 20 of about 2,296,500 (293)

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

A Review of Document Image Enhancement Based on Document Degradation Problem

Applied Sciences, 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, Shikai Zuo, Zhengxian Yang, Jinlong He, Jianwen Shi, Rui Zhang   +5 more
doaj   +2 more sources

Benchmarking of Document Image Analysis Tasks for Palm Leaf Manuscripts from Southeast Asia

Journal of Imaging, 2018
This paper presents a comprehensive test of the principal tasks in document image analysis (DIA), starting with binarization, text line segmentation, and isolated character/glyph recognition, and continuing on to word recognition and transliteration for ...
Made Windu Antara Kesiman, Dona Valy, Jean-Christophe Burie, Erick Paulus, Mira Suryani, Setiawan Hadi, Michel Verleysen, Sophea Chhun, Jean-Marc Ogier   +8 more
doaj   +2 more sources

Deep learning for terahertz image denoising in nondestructive historical document analysis

Scientific Reports, 2022
Historical documents contain essential information about the past, including places, people, or events. Many of these valuable cultural artifacts cannot be further examined due to aging or external influences, as they are too fragile to be opened or ...
Balaka Dutta, Konstantin Root, Ingrid Ullmann, Fabian Wagner, Martin Mayr, Mathias Seuret, Mareike Thies, Daniel Stromer, Vincent Christlein, Jan Schür, Andreas Maier, Yixing Huang   +11 more
doaj   +2 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
openaire   +2 more sources

Statistical Binarization Techniques for Document Image Analysis [PDF]

Journal of Computer Science, 2018
تعد الثنائية عملية مهمة في تحسين الصورة وتحليلها. حاليًا، تم الإبلاغ عن العديد من تقنيات الثنائية في الأدبيات. تنتج طرق الثنائية هذه صورًا ثنائية من صور ملونة أو رمادية المستوى. تسلط هذه المقالة الضوء على مراجعة شاملة لمناهج الثنائية المختلفة التي يشار إليها أيضًا باسم طرق العتبة.
Saad M. Ismail, Siti Norul Huda Sheikh Abdullah, Fariza Fauzi   +2 more
openaire   +2 more sources

A Comprehensive Review on Document Image Binarization

Journal of Imaging
In today’s digital age, the conversion of hardcopy documents into digital formats is widespread. This process involves electronically scanning and storing large volumes of documents.
Bilal Bataineh, Mohamed Tounsi, Nuha Zamzami, Jehan Janbi, Waleed Abdel Karim Abu-ain, Tarik AbuAin, Shaima Elnazer   +6 more
doaj   +2 more sources

A Survey on Document Image Analysis

International Journal for Research in Applied Science and Engineering Technology, 2018
Dr. S. Vijayarani, Ms. A. Sakila, Minali Deep   +2 more
openaire   +2 more sources

Historical document image analysis using controlled data for pre-training

International Journal on Document Analysis and Recognition, 2023
Using neural networks for semantic labeling has become a dominant technique for layout analysis of historical document images. However, to train or fine-tune appropriate models, large labeled datasets are needed.
Najoua Rahal, Lars Vögtlin, R. Ingold
semanticscholar   +1 more source

DiT: Self-supervised Pre-training for Document Image Transformer [PDF]

ACM Multimedia, 2022
Image Transformer has recently achieved significant progress for natural image understanding, either using supervised (ViT, DeiT, etc.) or self-supervised (BEiT, MAE, etc.) pre-training techniques.
Junlong Li, Yiheng Xu, Tengchao Lv, Lei Cui, Cha Zhang, Furu Wei   +5 more
semanticscholar   +1 more source