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

Offline Handwritten Recognition of Malayalam District Name - A Holistic Approach