3 papers
cs.CV2023
A Classifier Using Global Character Level and Local Sub-unit Level Features for Hindi Online Handwritten Character Recognition
Anand Sharma, A. G. Ramakrishnan
A classifier is developed that defines a joint distribution of global character features, number of sub-units and local sub-unit features to model Hindi online handwritten characte…
cs.CV2023
Structural analysis of Hindi online handwritten characters for character recognition
Anand Sharma, A. G. Ramakrishnan
Direction properties of online strokes are used to analyze them in terms of homogeneous regions or sub-strokes with points satisfying common geometric properties. Such sub-strokes…
cs.CV2023
Histograms of Points, Orientations, and Dynamics of Orientations Features for Hindi Online Handwritten Character Recognition
Anand Sharma, A. G. Ramakrishnan
A set of features independent of character stroke direction and order variations is proposed for online handwritten character recognition. A method is developed that maps features…