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The book gives an overview of the various steps involved in handwritten character recognition. It also familiarizes certain machine learning techniques. The performance of these techniques is compared based on some parameters for recognition of similar shaped handwritten Hindi characters. The importance of feature selection and its dimensionality is also shown. The key feature analyzed is how well a classifier performs if it is trained with data-set consisting of target as well as non-target characters.