Results 71 to 80 of about 107,321 (182)

Arabic Handwritten Letters Recognition Using Convolutional Neural Networks

open access: yesAdvances in Electrical and Computer Engineering
Arabic handwriting recognition is a complex task due to the script’s cursive nature, the presence of diacritics, character positioning, connected letters, and variations in individual writing styles.
SIDAOUI, B., KAOUAN, M.
doaj   +1 more source

Advancements in CNN Architectures for Offline Handwritten Arabic Character Recognition [PDF]

open access: yesE3S Web of Conferences
Analyzing and classifying images of Arabic handwritten characters is crucial for text understanding and interpretation from image data. The recognition of handwritten Arabic characters not only preserves the integrity of the Arabic language but also ...
El Ibrahimi Aissam   +4 more
doaj   +1 more source

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition?

open access: yes2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
Accepted at ICCV Workshop ...
Pippi, Vittorio   +6 more
openaire   +5 more sources

IMTLM-Net: improved multi-task transformer based on localization mechanism network for handwritten English text recognition

open access: yesComplex & Intelligent Systems
Intelligence technology has widely empowered education. As an example, Optical Character Recognition (OCR) can be used in smart education scenarios such as online homework correction and teaching data analysis.
Qianfeng Zhang, Feng Liu, Wanru Song
doaj   +1 more source

Uncovering the Handwritten Text in the Margins: End-to-end Handwritten Text Detection and Recognition

open access: yesProceedings of the 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2024)
The pressing need for digitization of historical documents has led to a strong interest in designing computerised image processing methods for automatic handwritten text recognition. However, not much attention has been paid on studying the handwritten text written in the margins, i.e.
Cheng, Liang   +3 more
openaire   +3 more sources

Urdu Handwritten Text Recognition Using ResNet18

open access: yesCoRR, 2021
Handwritten text recognition is an active research area in the field of deep learning and artificial intelligence to convert handwritten text into machine-understandable. A lot of work has been done for other languages, especially for English, but work for the Urdu language is very minimal due to the cursive nature of Urdu characters. The need for Urdu
openaire   +2 more sources

Research and Application of Image Enhancement and Correction Algorithm of Handwritten Steel Plate Numbering Based on Machine Vision [PDF]

open access: yesJisuanji gongcheng
Correct identification and inspection of steel plate numbers are major conditions for achieving automated production in production lines. In recent years, many production lines have been equipped with inkjet printers at the material preparation positions
XU Kuanguang, HE Dongyu, HAN Bing, LIU Yujia, LI Jiadong
doaj   +1 more source

Deep handwritten diagram segmentation

open access: yesIET Image Processing
Handwriting is a natural way to communicate and exchange ideas, but converting handwritten diagrams to application‐specific digital formats requires skill and time.
Buntita Pravalpruk, Matthew N. Dailey
doaj   +1 more source

Empowering Accessibility in Handwritten Arabic Text Recognition for Visually Impaired Individuals through Optimized Generative Adversarial Network (GAN) model

open access: yesJournal of Disability Research
Recognizing handwritten Arabic writing poses unique challenges for individuals with visual impairments due to the diverse range of calligraphic styles employed.
Manel Ayadi   +4 more
doaj   +1 more source

Ancient Yi Script Handwriting Sample Repository

open access: yesScientific Data
The ancient Yi script has been used for over 8000 years, which can be ranked with Oracle,Sumerian,Egyptian,Mayan and Harappan,and is one of the six ancient scripts in the world.
Xiaojuan Liu   +4 more
doaj   +1 more source

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