A CNN-LSTM based ensemble framework for in-air handwritten Assamese character recognition

In-air handwriting is a contemporary human computer interaction (HCI) technique which enables users to write and communicate in free space in a simple and intuitive manner. Air-written characters exhibit wide variations depending upon different writing styles of users and their speed of articulation...

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Veröffentlicht in:	Multimedia tools and applications Jg. 80; H. 28-29; S. 35649 - 35684
Hauptverfasser:	Choudhury, Ananya, Sarma, Kandarpa Kumar
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.11.2021 Springer Nature B.V
Schlagworte:	1166: Advances of machine learning in data analytics and visual information processing Artificial neural networks Character recognition Computer Communication Networks Computer Science Data Structures and Information Theory Feature recognition Fields (mathematics) Handwriting Handwriting recognition Modelling Multimedia Information Systems Neural networks Segmentation Segments Special Purpose and Application-Based Systems Writing In-air handwriting recognition Human computer interaction Long short-term memory Ligature Markov random field Convolutional neural network
ISSN:	1380-7501, 1573-7721
Online-Zugang:	Volltext
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