Results 51 to 60 of about 41,003,736 (265)

ON-LINE HANDWRITTEN ARABIC CHARACTER RECOGNITION BASED ON GENETIC ALGORITHM

open access: yesDiyala Journal of Engineering Sciences, 2012
On-line Arabic handwritten character recognition is one of the most challenging problems in pattern recognition field. By now, printed Arabic character recognition and on-line Arabic handwritten recognition has been gradually practical, while offline ...
Haithem Abd Al-RaheemTaha
doaj   +1 more source

Online handwritten Gurmukhi word recognition using fine-tuned Deep Convolutional Neural Network on offline features

open access: yesMachine Learning with Applications, 2021
The recognition of online handwriting is a vital application of pattern recognition, which involves the extraction of spatial and temporal information of handwritten patterns, and understanding the handwritten text while writing on the digital surface ...
Sukhdeep Singh   +2 more
doaj   +1 more source

A Research on Handwritten Text Recognition

open access: yesINTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2022
Over the years we have started accumulating handwritten documents, like pdfs, doc files and numerous other formats for reading, writing and studying. Often we come across situations where we need to utilize the text of those documents. Manually transcribing large amounts of handwritten data is an arduous process that’s bound to be fraught with errors ...
openaire   +1 more source

Watch Your Strokes: Improving Handwritten Text Recognition with Deformable Convolutions [PDF]

open access: yes, 2021
Handwritten Text Recognition (HTR) in free-layout pages is a valuable yet challenging task which aims to automatically understand handwritten texts. State-of-the-art approaches in this field usually encode input images with Convolutional Neural Networks,
Rita Cucchiara   +4 more
core   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

open access: yesAdvanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Machine Learning Approach for Arabic Handwritten Recognition

open access: yesApplied Sciences
Text recognition is an important area of the pattern recognition field. Natural language processing (NLP) and pattern recognition have been utilized efficiently in script recognition.
A. M. Mutawa   +2 more
doaj   +1 more source

SCUT-EPT: New Dataset and Benchmark for Offline Chinese Text Recognition in Examination Paper

open access: yesIEEE Access, 2019
Most existing studies and public datasets for handwritten Chinese text recognition are based on the regular documents with clean and blank background, lacking research reports for handwritten text recognition on challenging areas such as educational ...
Yuanzhi Zhu   +5 more
doaj   +1 more source

Automatic Receipt Recognition System Based on Artificial Intelligence Technology

open access: yesApplied Sciences, 2022
In this study, an automatic receipt recognition system (ARRS) is developed. First, a receipt is scanned for conversion into a high-resolution image. Receipt characters are automatically placed into two categories according to the receipt characteristics:
Cheng-Jian Lin   +2 more
doaj   +1 more source

Handwritten Text Recognition from Crowdsourced Annotations

open access: yesProceedings of the 7th International Workshop on Historical Document Imaging and Processing, 2023
Accepted to the 7th International Workshop on Historical Document Imaging and Processing (HIP 23)
Solène Tarride   +4 more
openaire   +4 more sources

Unlocking Terahertz Steganography: Authentication of Hidden Images in Flexible Media

open access: yesAdvanced Materials Technologies, EarlyView.
Hidden information in multilayered devices, such as steganographic portraits, is detected and authenticated using reflection‐mode terahertz time‐domain imaging. Image reconstruction relies on a dedicated figure‐of‐merit obtained by integrating the signal intensity over the time‐window associated with the reflection from the metallic mirror backing the ...
Tiziana Ritacco   +4 more
wiley   +1 more source

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