Fatigue database of additively manufactured alloys

Z Zhang, Z Xu - Scientific Data, 2023 - nature.com
Fatigue is a process of mechanical degradation that is usually assessed based on empirical
rules and experimental data obtained from standardized tests. Fatigue data of engineering …

Image processing technology for text recognition

YM Su, HW Peng, KW Huang… - … on Technologies and …, 2019 - ieeexplore.ieee.org
Image recognition and optical character recognition technologies have become an integral
part of our everyday life due in part to the ever-increasing power of computing and the …

[PDF][PDF] Effectiveness of Modern Text Recognition Solutions and Tools for Common Data Sources.

K Smelyakov, A Chupryna, D Darahan, S Midina - COLINS, 2021 - academia.edu
In the article features of functioning of the most common optical character recognition (OCR)
tools EasyOCR and TesserOCR are considered; experimental analysis of results of work of …

Method on water level ruler reading recognition based on image processing

G Chen, K Bai, Z Lin, X Liao, S Liu, Z Lin… - Signal, Image and Video …, 2021 - Springer
Water level measure is the key task in hydrological monitoring, wherein water level ruler
(WLR) is the necessary enabled measure instrument. Due to its low cost and easy …

Few-shot pixel-precise document layout segmentation via dynamic instance generation and local thresholding

A De Nardin, S Zottin, C Piciarelli… - Available at SSRN …, 2023 - papers.ssrn.com
Over the years, the humanities community has increasingly requested the creation of
artificial intelligence frameworks to help the study of cultural heritage. Document Layout …

A deep transfer learning approach to document image quality assessment

T Lu, A Dooms - 2019 International Conference on Document …, 2019 - ieeexplore.ieee.org
Document image quality assessment (DIQA) is an important process for various applications
such as optical character recognition (OCR) and document restoration. In this paper we …

Hybrid model for Chinese character recognition based on Tesseract-OCR

B Wang, YW Ma, HT Hu - International Journal of Internet …, 2020 - inderscienceonline.com
Optical character recognition (OCR) is an important way to input information into a computer.
And text information can be extracted by OCR from an image. Currently, the accuracy rate of …

Guided classification for arabic characters handwritten recognition

W Fakhet, S El Khediri, S Zidi - 2022 IEEE/ACS 19th …, 2022 - ieeexplore.ieee.org
Arabic text recognition is a difficult task due to the cursive nature of the Arabic writing system,
the different forms of Arabic characters in words, the large number of ligatures, and many …

Identification of Trolling in Memes Using Convolutional Neural Networks

MG Shridara, D Hládek, M Pleva… - 2023 33rd International …, 2023 - ieeexplore.ieee.org
In this paper, we applied a convolutional neural network based on classifier to classify the
given input image whether it was trolled image or a normal image, which creates a …

A hybrid fake banknote detection model using OCR, face recognition and hough features

A Zarin, J Uddin - 2019 Cybersecurity and Cyberforensics …, 2019 - ieeexplore.ieee.org
Currency duplication remains an emergent concern among nations due to the advancement
of printing and scanning technology. Many note detection systems are present in banks but …