Results 81 to 90 of about 2,546 (227)
Word shape analysis for a hybrid recognition system
, 1997 This paper describes two wholistic recognizers developed for use in a hybrid recognition system. The recognizers use information about the word shape. This information is strongly related to word zoning.
Whitrow, RJ, Powalka, RK, Sherkat, N
core
Beyond Spelling: Oral and Written Expository Discourse Skills in Adolescents With Dyslexia
Dyslexia, Volume 32, Issue 3, August 2026.ABSTRACT Students with dyslexia may produce shorter written texts with poorer content and less complex language than peers, but it remains unclear whether such differences reflect increased writing effort associated with dyslexia or co‐occurring non‐phonological language difficulties.
Helena Oliv, Anna Eva Hallin
wiley +1 more source
Advanced Science, Volume 13, Issue 31, 4 June 2026.An anti‐swelling ion‐conductive hydrogel is developed via β‐cyclodextrin and Fe3+ synergism, enabling reliable underwater motion sensing and Morse code communication. Integrated with machine learning, the system achieves 98.6% accuracy in real‐time underwater handwriting recognition for rapid information transmission.
Hao Dong +13 more
wiley +1 more source
Handwritten Script Recognition using DCT, Gabor Filter and Wavelet Features at Line Level
, 2020 In a country like India where more number of scripts are in use, automatic identification of printed and handwritten script facilitates many important applications including sorting of document images and searching online archives of document images.
B., Anita H., Rajput, G. G., Dr.
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Classification of handwritten Javanese script using random forest algorithm
, 2021 The ability to read and write Javanese scripts is one of the most important competencies for students to have in order to preserve the Javanese language as one of the Indonesian cultures.
Yohanes Indra Riskajaya +7 more
core +1 more source
Backpropagation Network‐Based Contrastive Learning for Unsupervised Domain Adaptation
Engineering Reports, Volume 8, Issue 6, June 2026.Unsupervised domain adaptation for contractive learning. ABSTRACT This study introduces a new method for domain adaptation for image classification tasks that aims to improve the model's performance on a target domain after being trained on a source domain.
Yushui Xiao, Yong Huang, Yujie Li
wiley +1 more source
ANN-based Innovative Segmentation Method for Handwritten text in Assamese
, 2009 Artificial Neural Network (ANN) s has widely been used for recognition of optically scanned character, which partially emulates human thinking in the domain of the Artificial Intelligence.
Sarma, Kandarpa Kumar +1 more
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Dual‐Branch Attention Fusion for Multimodal Sanskrit Script Classification
Engineering Reports, Volume 8, Issue 6, June 2026.The proposed system adopts a dual‐branch architecture in which a transformer‐based visual module extracts hierarchical structural features from manuscript images, while a textual module captures linguistic representations derived from recognized script content.
Basaraboyina Yohoshiva +1 more
wiley +1 more source
Handwritten Devanagari Script Recognition: A Survey
IOSR Journal of Electrical and Electronics Engineering, 2014 In India, many people use Devanagari script for documentation. There has been a significant improvement in the research related to the recognition of printed as well as handwritten Devanagari text in the past few years. Basically Character recognition techniques associate a symbolic identity with the image of a character.
Aradhana A Malanker, Prof. Mitul M Patel
openaire +1 more source
Engineering Reports, Volume 8, Issue 6, June 2026.This study presents a comprehensive analysis of Bengali AI resources, including NLP tools, machine translation systems, speech technologies, and benchmarking datasets. The findings highlight fragmented development across tasks and emphasize the need for integrated resources, unified benchmarks, and multimodal datasets to build a scalable and robust ...
Fairooz Maliha +5 more
wiley +1 more source