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https://github.com/vermavinay982/sign-verification-siamese-net-pytorch
SigNet Paper python implementation for check for forged Signatures. Siamese N. Net architecture has two or more identical subnetworks to find difference or similarity.
https://github.com/vermavinay982/sign-verification-siamese-net-pytorch
deep-learning neural-network python siamese-network signature signet
Last synced: 9 days ago
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SigNet Paper python implementation for check for forged Signatures. Siamese N. Net architecture has two or more identical subnetworks to find difference or similarity.
- Host: GitHub
- URL: https://github.com/vermavinay982/sign-verification-siamese-net-pytorch
- Owner: vermavinay982
- Created: 2021-05-24T18:49:12.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2021-05-24T19:23:12.000Z (over 3 years ago)
- Last Synced: 2024-10-14T14:12:00.574Z (24 days ago)
- Topics: deep-learning, neural-network, python, siamese-network, signature, signet
- Language: Jupyter Notebook
- Homepage:
- Size: 1.29 MB
- Stars: 3
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# SigNet Implementation in PyTorch (using SNN - Siamese Neural Network)
Interesting Paper that deals with Classifying the Signatures as `forged` or `original` using Siamese Network
Siamese Neural Network is a class of neural network architectures that has two or more identical sub networks. The Sub Networks have same configuration with the same parameters and weights.
Parameter updating is mirrored across both sub networks.It is used find the similarity of the inputs by comparing its feature vectors.
*Triplet Loss* or *Euclidean Loss* can be used to find the distance between the feature vectors.
Here, Euclidean Distance is used for Pairwise Distance.
Paper Reference: https://arxiv.org/pdf/1707.02131.pdf
## Sample Ouputs
