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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

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资源介绍:

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. ## 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
Guilherme's avatar
Guilherme Baron 		Anisio's
Anisio Marques Junior

资源文件列表:

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 大约有161个文件
  1. signature-recognition-master/
  2. signature-recognition-master/.gitignore 326B
  3. signature-recognition-master/LICENSE 1.06KB
  4. signature-recognition-master/README.md 1.35KB
  5. signature-recognition-master/data/
  6. signature-recognition-master/data/test/
  7. signature-recognition-master/data/test/021/
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  82. signature-recognition-master/data/training/
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  157. signature-recognition-master/network.py 4.41KB
  158. signature-recognition-master/preprocessor.py 775B
  159. signature-recognition-master/setup.py 293B
  160. signature-recognition-master/sigrecog.py 1.3KB
  161. signature-recognition-master/sigrecogtf.py 2.07KB
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