  Various machine learning methods for writer independent recognition of
Malayalam handwritten district names are discussed in this paper. Data
collected from 56 different writers are used for the experiments. The proposed
work can be used for the recognition of district in the address written in
Malayalam. Different methods for Dimensionality reduction are discussed.
Features consider for the recognition are Histogram of Oriented Gradient
descriptor, Number of Black Pixels in the upper half and lower half, length of
image. Classifiers used in this work are Neural Network, SVM and RandomForest.
