A self controlled RDP approach for feature extraction in online handwriting recognition using deep learning
- 27 February 2020
- journal article
- research article
- Published by Springer Science and Business Media LLC in Applied Intelligence
- Vol. 50 (7), 2093-2104
- https://doi.org/10.1007/s10489-020-01632-4
Abstract
No abstract availableKeywords
This publication has 56 references indexed in Scilit:
- A discrete geometry approach for dominant point detectionPattern Recognition, 2011
- Polygonal approximation of digital planar curves through break point suppressionPattern Recognition, 2010
- Learning mixture models with support vector machines for sequence classification and segmentationPattern Recognition, 2009
- Polygonal approximation of closed discrete curvesPattern Recognition, 2007
- Polygonal representation of digital planar curves through dominant point detection—a nonparametric algorithmPattern Recognition, 2004
- Reduced-search dynamic programming for approximation of polygonal curvesPattern Recognition Letters, 2003
- An adaptive method for detecting dominant pointsPattern Recognition, 2003
- Unconstrained handwritten character recognition based on fuzzy logicPattern Recognition, 2003
- Writer independent on-line handwriting recognition using an HMM approachPattern Recognition, 2000
- On-line handwritten alphanumeric character recognition using dominant points in strokesPattern Recognition, 1997