  Handwriting recognition has been one of the most fascinating and challenging
research areas in field of image processing and pattern recognition. It
contributes enormously to the improvement of automation process. In this paper,
a system for recognition of unconstrained handwritten Malayalam characters is
proposed. A database of 10,000 character samples of 44 basic Malayalam
characters is used in this work. A discriminate feature set of 64 local and 4
global features are used to train and test SVM classifier and achieved 92.24%
accuracy
