Name
Abstract | ||
|---|---|---|
Predicting someone's personality is certainly becoming more and more important in the modern world, a face, voice, handwriting, and many other aspects could be personality traits indicators. Investigating Deep Learning algorithms application under this scope could be very benefit and would provide a solid background for future researches. This paper aims to presents a comparative study of different approaches and methods using Deep Learning techniques in handwriting personality recognition. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/ICECOCS50124.2020.9314529 | 2020 IEEE 2nd International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS) |
Keywords | DocType | ISBN |
deep learning,artificial neural networks,personality analysis,graphology,handwriting analysis | Conference | 978-1-7281-6922-4 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ahmed Remaida | 1 | 0 | 0.34 |
| Aniss Moumen | 2 | 0 | 0.34 |
| Younes El Bouzekri El Idrissi | 3 | 0 | 1.01 |
| Benyoussef Abdellaoui | 4 | 0 | 0.34 |