Results 61 to 70 of about 2,795 (153)

Self-training for Handwritten Text Line Recognition [PDF]

, 2010
Off-line handwriting recognition deals with the task of automatically recognizing handwritten text from images, for example from scanned sheets of paper. Due to the tremendous variations of writing styles encountered between different individuals, this is a very challenging task. Traditionally, a recognition system is trained by using a large corpus of
Volkmar Frinken, Horst Bunke
openaire   +1 more source

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

Complex & 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

Urdu Handwritten Text Recognition Using ResNet18

CoRR, 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]

Jisuanji 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

IET 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

Journal 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, Nesrine Masmoudi, Latifa Almuqren, Raneem Oudah Aljohani, Hadeel Saeed Alshahrani   +4 more
doaj   +1 more source

Ancient Yi Script Handwriting Sample Repository

Scientific 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, Xu Han, Shanxiong Chen, Weijia Dai, Qiuyue Ruan   +4 more
doaj   +1 more source

Enhanced Offline Writer Recognition System Employing Blended Multi-Input CNN and Bi-LSTM Model on Diverse Handwritten Texts [PDF]

International Journal of Mathematical, Engineering and Management Sciences
Since author’s writing styles are often ambiguous, writer recognition is an appealing research problem for handwritten manuscript investigation. Pattern identification allows for recognizing the author of a handwritten work.
Naresh Purohit , Subhash Panwar
doaj   +1 more source

Understanding the application of handwritten text recognition technology in heritage contexts: a systematic review of Transkribus in published research. [PDF]

Arch Sci (Dordr), 2022
Nockels J, Gooding P, Ames S, Terras M.
europepmc   +1 more source

Detection of Text Lines of Handwritten Arabic Manuscripts using Markov Decision Processes

International Journal of Interactive Multimedia and Artificial Intelligence, 2016
In a character recognition systems, the segmentation phase is critical since the accuracy of the recognition depend strongly on it. In this paper we present an approach based on Markov Decision Processes to extract text lines from binary images of Arabic
Youssef Boulid, Abdelghani Souhar, Mohamed Elyoussfi Elkettani   +2 more
doaj   +1 more source