A hybrid CNN-LSTM architecture with dimensionality reduction for online signature verification achieves state-of-the-art accuracy with as few as one training sample on MCYT, SUSIG, and SVC datasets.
Pattern Recognition Letters,vol 84, pp:22–28
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A Light weight and Hybrid Deep Learning Model based Online Signature Verification
A hybrid CNN-LSTM architecture with dimensionality reduction for online signature verification achieves state-of-the-art accuracy with as few as one training sample on MCYT, SUSIG, and SVC datasets.