Results 31 to 40 of about 2,737 (252)
ON-LINE HANDWRITTEN ARABIC CHARACTER RECOGNITION BASED ON GENETIC ALGORITHM
Diyala 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
Attention-based CNN-ConvLSTM for Handwritten Arabic Word Extraction
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2022 Word extraction is one of the most critical steps in handwritten recognition systems. It is challenging for many reasons, such as the variability of handwritten writing styles, touching and overlapping characters, skewness problems, diacritics ...
takwa Ben Aicha, Afef Kacem Echi
doaj +1 more source
Handwritten Text Recognition using Deep Learning
2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT), 2020 There are many researchers working on handwritten text recognition (HTR) and also contributing to HTR domain. Even though many research methods are existing for HTR, there is a need for some more improvements in the accuracy of the HTR systems. This paper is a contribution of the application of the Deep Learning algorithm for the HTR system.
A Nikitha, J Geetha, D.S JayaLakshmi
openaire +3 more sources
Machine 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
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Automatic Receipt Recognition System Based on Artificial Intelligence Technology
Applied 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
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Handwritten Text Recognition from Crowdsourced Annotations
Proceedings of the 7th International Workshop on Historical Document Imaging and Processing, 2023 Accepted to the 7th International Workshop on Historical Document Imaging and Processing (HIP 23)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 +2 more sources
Machine Learning Approach for Arabic Handwritten Recognition
Applied SciencesText 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
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SCUT-EPT: New Dataset and Benchmark for Offline Chinese Text Recognition in Examination Paper
IEEE 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
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Language Technology for Handwritten Text Recognition
, 2012 Work supported by the EC (FEDER), the Spanish MEC under the MIPRCV “Consolider Ingenio 2010” research programme (CSD2007- 00018) and the Spanisg Government (MICINN and “Plan E”) under the MITTRAL (TIN2009-14633-C03-01) research project.
Toselli, Alejandro Héctor +5 more
openaire +2 more sources
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
Advanced Functional Materials, EarlyView.Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha +18 more
wiley +1 more source