Online Signature Verification using Recurrent Neural Network and Length-normalized Path Signature

19 May 2017 Songxuan Lai Lianwen Jin Weixin Yang

Inspired by the great success of recurrent neural networks (RNNs) in sequential modeling, we introduce a novel RNN system to improve the performance of online signature verification. The training objective is to directly minimize intra-class variations and to push the distances between skilled forgeries and genuine samples above a given threshold... (read more)

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