Wavelet-based gender detection on off-line handwritten documents using probabilistic finite state automata

@article{Akbari2017WaveletbasedGD,
  title={Wavelet-based gender detection on off-line handwritten documents using probabilistic finite state automata},
  author={Younes Akbari and Kazem Nouri and Javad Sadri and Chawki Djeddi and Imran Siddiqi},
  journal={Image Vision Comput.},
  year={2017},
  volume={59},
  pages={17-30}
}
Detection of gender from handwriting of an individual presents an interesting research problem with applications in forensic document examination, writer identification and psychological studies. This paper presents an effective technique to predict the gender of an individual from off-line images of handwriting. The proposed technique relies on a global… CONTINUE READING