خلاصة:
Handwriting Analysis has been used for a very long time to analyze an individual’s suitability for a job, and is in recent times, gaining popularity as a valid means of a person’s evaluation. Extensive Research has been done in the field of determining the Personality Traits of a person through handwriting. We intend to analyze an individual’s personality by breaking it down into the Big Five Personality Traits using their handwriting samples. We present a dataset that links personality traits to the handwriting features. We then propose our algorithm - consisting of one ANN based model and PersonaNet, a CNN based model. The paper evaluates our algorithm’s performance with baseline machine learning models on our dataset. Testing our novel architecture on this dataset, we compare our algorithm based on various metrics, and show that our novel algorithm performs better than the baseline Machine Learning models.
ملخص الجهاز:
A Deep Learning Based Analysis of the Big Five Personality Traits from Handwriting Samples Using Image Processing Ahmed A.
(2017) presented a new approach for identifying personality traits by combining handwriting features with machine learning techniques.
, (2018) proposed a three-layer architecture based on the neural networks system that aims to determine the Big Five Personality traits of a person by analyzing and extracting features.
They also released a dataset in the literature that relates to the Big Five personality types with the handwriting features extracted from the 128 subjects containing random and predefined texts.
Our contribution: In this work, we aim to create the first literature architecture capable of automatically analyzing a couple of handwriting features and creating an assessment of the writer's personality using the Big-Five Model.
Our analysis proceeds by extracting the features from handwriting samples and applying different supervised machine learning classification models as the baseline.
Handwriting sample from Personality Detection Dataset (PDD) (VIEW the Image this page) Figure 6.
PAN model architecture trained to predict levels of personality trait A (VIEW the Image this page) Figure 18.
PAN model architecture trained to predict levels of personality trait A (VIEW the Image this page) Figure 18.
Hence, we see that our proposed architectures outperform the baseline Machine Learning models for the analysis of the Big Five Personality Traits.
A Deep Learning Based Analysis of the Big Five Personality Traits from Handwriting Samples Using Image Processing.