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基于图像识别与神经网路的手写签名真实性验证项目源码.zip
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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

资源文件列表(大概)

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signature-recognition-master/
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signature-recognition-master/.gitignore
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signature-recognition-master/LICENSE
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signature-recognition-master/README.md
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signature-recognition-master/data/
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signature-recognition-master/data/test/
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signature-recognition-master/data/test/029/
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signature-recognition-master/data/training/
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signature-recognition-master/data/training/021/genuine-01.png
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signature-recognition-master/data/training/024/
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signature-recognition-master/data/training/029/genuine-11.png
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signature-recognition-master/network.py
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signature-recognition-master/preprocessor.py
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signature-recognition-master/setup.py
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signature-recognition-master/sigrecog.py
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signature-recognition-master/sigrecogtf.py
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资源内容介绍

通过数字图像处理和神经网络验证手写签名的真实性。研究人工智能在各个领域的应用过程中建立的一个实验项目。供图像识别与神经网络的学习研究者借鉴，具有很强的学习参考意义。
# 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.## DatasetWe 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 /> <sub><b>Guilherme Baron</b></sub> </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 /> <sub><b>Anisio Marques Junior</b></sub> </a> </td> </tr></table>

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