Extracting Personality Characteristics from Handwriting using Machine Learning.

Handwriting analysis has long been employed to glean insights into an individual's personality traits, behaviors, and psychological characteristics. From forensic handwriting analysis to psychological profiling, the intricate nuances of handwriting have been studied and interpreted by experts across various disciplines. With the advent of digital technologies and advancements in image processing techniques, the field of personality identification through handwriting analysis has witnessed a resurgence, offering new avenues for research and applications. This project endeavors to contribute to the ongoing discourse on personality identification through handwriting analysis by proposing a novel approach that leverages the power of image processing, specifically Convolutional Neural Networks (CNNs), to extract meaningful features from handwriting images and classify them based on personality traits.