Signature recognition with Keras,Deep learning
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Updated
Apr 13, 2017 - Python
Signature recognition with Keras,Deep learning
Signature recognition is a behavioural biometric. It can be operated in two different ways: Static: In this mode, users write their signature on paper, digitize it through an optical scanner or a camera, and the biometric system recognizes the signature analyzing its shape. This group is also known as “off-line”. Dynamic: In this mode, users wri…
A python page to recognize the signature using CV2 library and back propagation algorithm
Tanda Tangan Digital (Android)
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Machine Learning model made by me and my colleagues for Signature and Facial Recognition which is helpful in Finance Sector considering the need of Security.
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Signaturn is a Python application that groups and organizes scanned documents with signatures
Signature recognition is a behavioural biometric. It can be operated in two different ways: Static: In this mode, users write their signature on paper, digitize it through an optical scanner or a camera, and the biometric system recognizes the signature analyzing its shape. This group is also known as “off-line”. Dynamic: In this mode, users wri…
A novice-friendly project while learning along the way. It's all about understanding images better, focusing on image processing.
An end-to-end signature verification system to extract, clean and verify signatures in documents. Signatures are detected using YOLOv5. Noise is cleaned using a CycleGAN approach and verified. Keras / Tensorflow / PyTorch
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