Abstract-This paper presents an efficient Online Handwritten character Recognition System for Malayalam Characters (OHR-M) using Kohonen network. It would help in recognizing Malayalam text entered using pen-like devices. It will be more natural and efficient way for users to enter text using a pen than keyboard and mouse. To identify the difference between similar characters in Malayalam a novel feature extraction method has been adopted-a combination of context bitmap and normalized (x, y) coordinates. The system reported an accuracy of 88.75% which is writer independent with a recognition time of 15-32 milliseconds.
Online system which uses a combination of context bitmap and normalised (x,y) co-ordinates has also been developed REF .
On-line Handwritten character Recognition using Kohonen networks
2009 World Congress on Nature & Biologically Inspired Computing (NaBIC)
2009 World Congress on Nature & Biologically Inspired Computing (NaBIC)
Computer Science