Histogram of Oriented Gradients for writer´s gender, handedness and age prediction

This work focuses on automatic prediction of the writer´s biometrics including gender, handedness and age information. The proposed prediction system is based on the use of Histogram of Oriented Gradients (HOG), which aims to extract gradient directions from the handwritten text. The prediction task is achieved using SVM classifier. Experiments performed on IAM and KHATT datasets, reveal promising results. Precisely, the comparison with the state of the art shows that, the proposed prediction system provides quite encouraging performance.