شماره ركورد :
1237624
عنوان مقاله :
A Deep Learning Based Analysis of the Big Five Personality Traits from Handwriting Samples Using Image Processing
عنوان به زبان ديگر :
A Deep Learning Based Analysis of the Big Five Personality Traits from Handwriting Samples Using Image Processing
پديد آورندگان :
Elngar، Ahmed A Faculty of Computers and Artificial Intelligence - Beni-Suef University, Egypt , Jain، Nikita Department of Computer Science and Engineering - Bharati Vidyapeeth’s College of Engineering, New Delhi, India , Sharma، Divyanshu Department of Computer Science and Engineering - Bharati Vidyapeeth’s College of Engineering, New Delhi, India , Negi، Himani Department of Computer Science and Engineering - Bharati Vidyapeeth’s College of Engineering, New Delhi, India , Trehan، Anuj Department of Computer Science and Engineering - Bharati Vidyapeeth’s College of Engineering, New Delhi, India , Srivastava، Akash Department of Computer Science and Engineering - Bharati Vidyapeeth’s College of Engineering, New Delhi, India
تعداد صفحه :
33
از صفحه :
3
از صفحه (ادامه) :
0
تا صفحه :
35
تا صفحه(ادامه) :
0
كليدواژه :
Convolutional neural networks , Computer vision , Artificial neural networks , Machine learning , Big five personality traits , Graphology , Handwriting
چكيده فارسي :
فاقد چكيده
چكيده لاتين :
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.
سال انتشار :
1399
عنوان نشريه :
مديريت فناوري اطلاعات
فايل PDF :
8458469
لينک به اين مدرک :
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