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Handwritten Signature Verification API by shreyoshi.12y is a document available to read on EtoBox.

What is Handwritten Signature Verification API about?

This paper presents a deep learning approach for handwritten signature verification, utilizing a Convolutional Neural Network (CNN) model that achieved an accuracy of 99.7% on a dataset of real and forged signatures. The study discusses the differences between static and dynamic signature verification, outlines the methodology for data acquisition and model training, and evaluates the model

Author

shreyoshi.12y

Language

EN