Performance of MyNET Model on Handwriting Biometrics
This paper is in the continuation of Writer Identification using Neural Network. Offline signature identification is the challenging task till date. Unlike to verification problem of one-to-onemapping, identification maps single with rest them to identify the signer. For this process we model a model using convolution neural network. This paper explains the performance of MyNET model on MyNET offline signature dataset which consists of 434 writers 20 signatures each.