A Deep Learning Based Analysis of the Big Five Personality Traits from Handwriting Samples Using Image Processing
- سال انتشار: 1399
- محل انتشار: فصلنامه مدیریت فناوری اطلاعات، دوره: 12، شماره: 6
- کد COI اختصاصی: JR_JITM-12-6_002
- زبان مقاله: انگلیسی
- تعداد مشاهده: 197
نویسندگان
Assistant Prof., Faculty of Computers and Artificial Intelligence, Beni-Suef University, Beni Suef, ۶۲۵۱۱, Egypt.
Assistant Prof., Department of Computer Science and Engineering, Bharati Vidyapeeth’s College of Engineering, New Delhi, India.
Department of Computer Science and Engineering, Bharati Vidyapeeth’s College of Engineering, New Delhi, India.
Department of Computer Science and Engineering, Bharati Vidyapeeth’s College of Engineering, New Delhi, India.
Department of Computer Science and Engineering, Bharati Vidyapeeth’s College of Engineering, New Delhi, India.
Department of Computer Science and Engineering, Bharati Vidyapeeth’s College of Engineering, New Delhi, India.
چکیده
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.کلیدواژه ها
computer vision, Convolutional neural networks, Artificial Neural Networks, Machine learning, Big Five Personality Traits, handwriting, Graphologyاطلاعات بیشتر در مورد COI
COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.
کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.