图像识别与神经网络的手写数字签名真实性验证项目源码

# Signature Recognition ✍️ Verify the authenticity of handwritten signatures through digital image processing and neural networks. This is an **experimental project** built during our research on the usage of AI throughout the most diverse fields. ## Dataset We got the dataset from [ICDAR 2009 Signature Verification Competition (SigComp2009)](http://www.iapr-tc11.org/mediawiki/index.php?title=ICDAR_2009_Signature_Verification_Competition_(SigComp2009)). ## Usage - `python sigrecog.py` runs using our backpropagation neural network implementation - `python sigrecogtf.py` runs using a tensorflow model based on logistic regression ## Built with - OpenCV - Tensorflow ## Requirements - Python 3.6 - OpenCV 3.2 - Numpy - Tensorflow ## Contributors <table> <tr> <td align="center"> <a href="https://github.com/gnbaron"> <img src="https://avatars.githubusercontent.com/u/4841110?v=3" width="100px;" alt="Guilherme's avatar" /><br /> _{<b>Guilherme Baron</b>} </a> </td> <td align="center"> <a href="https://github.com/anisiomqs"> <img src="https://avatars.githubusercontent.com/u/7771541?v=3" width="100px;" alt="Anisio's " /><br /> _{<b>Anisio Marques Junior</b>} </a> </td> </tr> </table>