Predicting the Big-Five Personality Traits from Handwriting

This work is about how the personality can be derived from the image of handwriting which can be derived among any of the five big personality traits accompanied by the list of features or reflecting the nature of the handwriting image from seven features. We would be using handwriting images which decide the nature of the person based on big-five trait. In the feature list dataset, every features are mined from images to match images with the image dataset and creating a separate clean feature list. Training the data using feature list and tag list efficiently by iterating every image and generating list of 12 elements for every image. Data list is classified using various algorithms like support vector machine, K-nearest neighbor, and random forest to evaluate accuracy by displaying the features of the input essay along with five big traits.