On-line handwriting recognition has been a frontier
area of research for the last few decades under the purview of
pattern recognition. Word processing turns to be a vexing
experience even if it is with the assistance of an alphanumeric
keyboard in Indian languages. A natural solution for this
problem is offered through online character recognition. There is
abundant literature on the handwriting recognition of western,
Chinese and Japanese scripts, but there are very few related to
the recognition of Indic script such as Malayalam. This paper
presents an efficient Online Handwritten character Recognition
System for Malayalam Characters (OHR-M) using K-NN
algorithm. It would help in recognizing Malayalam text entered
using pen-like devices. A novel feature extraction method, a
combination of time domain features and dynamic representation
of writing direction along with its curvature is used for
recognizing Malayalam characters. This writer independent
system gives an excellent accuracy of 98.125% with recognition
time of 15-30 milliseconds
Description:
2010 First International Conference on Integrated Intelligent Computing