Research Article
Gender and Handedness Prediction from Offline Handwriting Using Convolutional Neural Networks
Table 2
Number of training and test lines used, per subclass and experiment, from KHATT database.
| | Gender | | Male (M) | Female (F) | | Train | Test | Train | Test |
| | 3,931 | 609 | 1,846 | 358 |
| | Handedness | | Right-handed (R) | Left-handed (L) | | Train | Test | Train | Test |
| | 5,344 | 877 | 433 | 90 |
| | Combined | | RM | LM | RF | LF | | Train | Test | Train | Test | Train | Test | Train | Test |
| | 3,601 | 547 | 330 | 62 | 1,743 | 330 | 103 | 28 |
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