| Title |
Automatic prediction of age, gender, and nationality in offline handwriting
|
|---|---|
| Published in |
EURASIP Journal on Image and Video Processing, February 2014
|
| DOI | 10.1186/1687-5281-2014-10 |
| Authors |
Somaya Al Maadeed, Abdelaali Hassaine |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 2% |
| Italy | 1 | 2% |
| Unknown | 54 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 14% |
| Student > Master | 7 | 13% |
| Student > Bachelor | 6 | 11% |
| Researcher | 4 | 7% |
| Lecturer > Senior Lecturer | 3 | 5% |
| Other | 10 | 18% |
| Unknown | 18 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 38% |
| Social Sciences | 3 | 5% |
| Psychology | 2 | 4% |
| Chemistry | 2 | 4% |
| Design | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 19 | 34% |