A Global Online Handwriting Recognition Approach Based on Frequent Patterns
In this article, the handwriting signals are represented based on geometric and spatio-temporal characteristics to increase the feature vectors relevance of each object. The main goal was to extract features in the form of a numeric vector based on the extraction of frequent patterns. We used two ty...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
D. G. Pylarinos
2018-06-01
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| Series: | Engineering, Technology & Applied Science Research |
| Subjects: | |
| Online Access: | http://etasr.com/index.php/ETASR/article/view/1784 |