Novel Features to Detect Gender from Handwritten Documents

•Automatic handwritten analysis system has been developed to detect the gender of the writer.•Machine learning methods have been used to extract set of gender-related features.•Large Arabic dataset was collected to conduct the experiment of the gender detection system.•Novel set of features were chosen with the consultation of a graphologist and psychologist.•Benchmark dataset was used to compare the proposed detection system with another researcher works.