Offline-Signature-Verification-using-Siamese-Network
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Published
20 hours ago •
hlamba28
hlamba28
Getting 50% test accuracy on Hindi Signatures
Hello hlamba28,
I have trained the code on 2 dataset CEDAR and BHSig260. I have created train, validation and test set with following partition
| Dataset | Total (# writers) | Train | Validation | Test |
|---|---|---|---|---|
| CEDAR | 55 | 45 | 5 | 5 |
| BHSig260 (Bengali) | 100 | 70 | 10 | 20 |
| BHSig260 (Hindi) | 160 | 110 | 15 | 35 |
There are total 276 (genuine - genuine) signature pairs and 276 (genuine - forged) signature pairs per users for all the dataset.
I am getting results as shown below
| Dataset | Accuracy |
|---|---|
| CEDAR | 100% |
| BHSig260 (Bengali) | 50% |
| BHSig260 (Hindi) | 50% |
Why accuracy on Bengali and Hindi signatures is low ?
You claimed Accuracy = 81.71% and Threshold = 0.55 for Hindi Signatures, but I am getting only 50% I tried changing train, validation and test size but test accuracy is stuck 50% not less not more
