Improving handwriting based gender classification using ensemble classifiers.

•A system to predict gender from images of handwriting using textural descriptors.•Multiple classifiers to discriminate male and female writings.•Classifiers combined using bagging, voting and stacking techniques.•Generic and script-independent approach applied to English and Arabic handwritings.•Improved results on the QUWI database once compared to state-of-the-art methods.