Personality Prediction and Handwriting Recognition Using Machine Learning
Vishal Ratansing Patil, Harsh Mathur · 2021
Personality analysis and identification of writer depend on handwriting samples that were in place of graphologist online tool that can be useful. Graphology is the subconscious thinking of the human brain that is expressed by handwriting. Machine learning algorithms will be given input as handwritten samples from the dataset. Various features from the handwritten samples have been used to find the pattern and strokes in the given samples by using image processing. An analysis of the personality of the person and identification of the handwriting has been done using various personality traits like baseline, size, zones, and the height of “t” bar. The source of information and handwriting style is difficult to model mathematically. This paper mentions the different features used for the detection of personality traits and describes the writer and algorithms for the identification of the writer. Here, a note has been made of the steps taken to perform the necessary functions using the tool.