Demographic Classification Using Bagging and Boosting

@inproceedings{Bandi2005DemographicCU,
  title={Demographic Classification Using Bagging and Boosting},
  author={Karthik Bandi and Sargur N. Srihari},
  year={2005}
}
Classifying handwriting into a writer demographic category, e.g., gender, age, or handedness of the writer, is useful for more detailed analysis such as writer verification and identification. This paper describes classification into binary demographic categories using document macro features and several different classification methods: a single feed-forward neural network classifier and combinations of neural network classifiers based on boosting and bagging. The textual content of each… CONTINUE READING
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