Analysis of Handwriting using Machine Learning

Abstract

Data which include the dynamically captured route, stroke, distance, length, strain and form of an individual's signature allow handwriting to be a dependable indicator of a character's identification. Forensic handwriting exam has a new frontier: the virtual signature in biometric modality that uses, for popularity functions, the anatomic and behavioral traits that a person showcase when signing her/his name. Handwriting examiners regularly must determine if the signature is proper or simulated, dynamic information along with velocity and stress are fundamental and may be expected qualitatively. A person's handwriting is as particular as their personal, which makes it tempting to attach the two. Graphology is the analysis of the physical characteristics and styles of handwriting claiming which will identify the author, indicating the mental country at the time of writing, or evaluating character traits. It is typically considered a pseudoscience.