An Efficient Primitive-Based Method to Recognize Online Sketched Symbols with Autocompletion
Joint Authors
Deng, Wei
Wu, Lingda
Zhang, Yougen
Yang, Chao
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-04-30
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
We present a new structural method of sketched symbol recognition, which aims to recognize a hand-drawn symbol before it is fully completed.
It is invariant to scale, stroke number, and order.
We also present two novel descriptors to represent the spatial distribution between two primitives.
One is invariant to rotation and the other is not.
Then a symbol is represented as a set of descriptors.
The distance between the input symbol and the template one is calculated based on the assignment problem.
Moreover, a fast nearest neighbor (NN) search algorithm is proposed for recognition.
The method achieves a satisfactory recognition rate in real time.
American Psychological Association (APA)
Deng, Wei& Wu, Lingda& Zhang, Yougen& Yang, Chao. 2015. An Efficient Primitive-Based Method to Recognize Online Sketched Symbols with Autocompletion. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1074074
Modern Language Association (MLA)
Deng, Wei…[et al.]. An Efficient Primitive-Based Method to Recognize Online Sketched Symbols with Autocompletion. Mathematical Problems in Engineering No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1074074
American Medical Association (AMA)
Deng, Wei& Wu, Lingda& Zhang, Yougen& Yang, Chao. An Efficient Primitive-Based Method to Recognize Online Sketched Symbols with Autocompletion. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1074074
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074074