A large-scale offline Chinese handwritten signature dataset
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Updated
Jul 18, 2024
A large-scale offline Chinese handwritten signature dataset
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
A novice-friendly project while learning along the way. It's all about understanding images better, focusing on image processing.
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…
Signaturn is a Python application that groups and organizes scanned documents with signatures
Research-Based Digital Signature Authentication: An Alternative to Password-Based Authentication with Integration Capabilities
Signature Recognition with Siamese Network and CycleGAN
Signature recognition using template matching and correlation
A super lightweight image processing algorithm for detection and extraction of overlapped handwritten signatures on scanned documents using OpenCV and scikit-image.
Verify the authenticity of handwritten signatures through digital image processing and neural networks. ✍️
A package for signature detection
A web application for signature detection.
Application to detect the similarity of two signatures.
The most powerful and customizable binary pattern scanner
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.
OpenCV Signature Detector
Tanda Tangan Digital (Android)
A python page to recognize the signature using CV2 library and back propagation algorithm
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…
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