Results 71 to 80 of about 36,676 (115)

Handwritten Pattern Reproduction Using 3D Inertial Measurement of Handwriting Movement

, 2002
Tohru MIYAGAWA, Yoshimichi Yonezawa, Kazunori Itoh, Masami Hashimoto   +3 more
openalex   +2 more sources

Machine Printed Text and Handwriting Identification in Noisy Document Images

, 2003
Yefeng Zheng, Huiping Li, David Doermann
openalex   +3 more sources

A contour character extraction approach in conjunction with a neural confidence fusion technique for the segmentation of handwriting recognition

, 2002
Brijesh Verma
openalex   +2 more sources

Experimental analysis of neural network based feature extractors for cursive handwriting recognition

, 2003
Ling Gang, Brijesh Verma, S. Kulkami
openalex   +2 more sources

A Fast Lexically Constrained Viterbi Algorithm for On-line Handwriting Recognition

, 2000
Alain Lifchitz, Frédéric Maire
openalex   +1 more source

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Multiple-Fine-Tuned Convolutional Neural Networks for Parkinson’s Disease Diagnosis From Offline Handwriting

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021
Existing decision support system frameworks for diagnosing Parkinson’s disease (PD) through handwriting, speech, or gait characteristics share very similar pipelines. Although in some cases, patient data can be captured by commercially available devices,
Matej Gazda, Matej Hires, P. Drotár
semanticscholar   +1 more source

Development of CNN Transfer Learning for Dyslexia Handwriting Recognition

IEEE International Conference on Control System, Computing and Engineering, 2021
Dyslexia is categorized as learning disorder that influence the ability of reading, writing and spelling. In Malaysia, “Instrumen Senarai Semak Disleksia (ISD)” that is provided by Ministry of Education is used to detect dyslexic student at early stage ...
Mohamed Rosli, I. Isa, S. A. Ramlan, S. N. Sulaiman, M. Maruzuki   +4 more
semanticscholar   +1 more source

On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000
Handwriting has continued to persist as a means of communication and recording information in day-to-day life even with the introduction of new technologies.
R. Plamondon, S. Srihari
semanticscholar   +1 more source

Methods of combining multiple classifiers and their applications to handwriting recognition

IEEE Transactions on Systems, Man and Cybernetics, 1992
Possible solutions to the problem of combining classifiers can be divided into three categories according to the levels of information available from the various classifiers.
L. Xu, A. Krzyżak, C. Suen
semanticscholar   +1 more source

Concrete crack detection with handwriting script interferences using faster region‐based convolutional neural network

Comput. Aided Civ. Infrastructure Eng., 2019
The current bridge maintenance practice generally involves manual visual inspection, which is highly subjective and unreliable. A technique that can automatically detect defects, for example, surface cracks, is essential so that early warnings can be ...
Jianghua Deng, Ye Lu, V. C. Lee
semanticscholar   +1 more source