GitHub topics: signature-recognition

CatExec/signature-recognition-cnn

A deep learning-based system for signature classification using CNN, HOG, and SIFT. This project segments signature images, applies feature extraction, and trains models to recognize individual signatures. Performance is evaluated using precision, recall, F1-score, and accuracy.

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NAVANEETHA123-tech/signature-recognition-cnn

A deep learning-based system for signature classification using CNN, HOG, and SIFT. This project segments signature images, applies feature extraction, and trains models to recognize individual signatures. Performance is evaluated using precision, recall, F1-score, and accuracy.

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EnzoSeason/signature_detection

A package for signature detection

Language: Jupyter Notebook - Size: 7.04 MB - Last synced at: 27 days ago - Pushed at: over 2 years ago - Stars: 54 - Forks: 21

G-h-o-s-t-0/signature-recognition-cnn

A deep learning-based system for signature classification using CNN, HOG, and SIFT. This project segments signature images, applies feature extraction, and trains models to recognize individual signatures. Performance is evaluated using precision, recall, F1-score, and accuracy.

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SAMEERVASU/signature-recognition-cnn

A deep learning-based system for signature classification using CNN, HOG, and SIFT. This project segments signature images, applies feature extraction, and trains models to recognize individual signatures. Performance is evaluated using precision, recall, F1-score, and accuracy.

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imamaaa/signature-recognition-cnn

A deep learning-based system for signature classification using CNN, HOG, and SIFT. This project segments signature images, applies feature extraction, and trains models to recognize individual signatures. Performance is evaluated using precision, recall, F1-score, and accuracy.

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HoShiMin/Sig

The most powerful and customizable binary pattern scanner

Language: C++ - Size: 30.3 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 217 - Forks: 50

s-m-quadri/draw-key

Research-Based Digital Signature Authentication: An Alternative to Password-Based Authentication with Integration Capabilities

Language: JavaScript - Size: 185 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

ahmetozlu/signature_extractor

A super lightweight image processing algorithm for detection and extraction of overlapped handwritten signatures on scanned documents using OpenCV and scikit-image.

Language: Python - Size: 3.9 MB - Last synced at: 6 months ago - Pushed at: about 2 years ago - Stars: 459 - Forks: 142

diveshlunker/Signature-Recognition-Using-Python

A python page to recognize the signature using CV2 library and back propagation algorithm

Language: Python - Size: 12.4 MB - Last synced at: about 1 month ago - Pushed at: about 6 years ago - Stars: 6 - Forks: 4

hsinmin/HanSig

A large-scale offline Chinese handwritten signature dataset

Size: 67.4 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 7 - Forks: 0

iamyaash/expert-goggles

A novice-friendly project while learning along the way. It's all about understanding images better, focusing on image processing.

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efecanxrd/Signature-Recognition

Signature recognition using template matching and correlation

Language: Python - Size: 147 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

gnbaron/signature-recognition

Verify the authenticity of handwritten signatures through digital image processing and neural networks. ✍️

Language: Python - Size: 34.9 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 164 - Forks: 82

AzharRivaldi/Tanda-Tangan-Digital

Tanda Tangan Digital (Android)

Language: Kotlin - Size: 97.7 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 12 - Forks: 4

RishavRaj20/signature_recognition

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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ayushreal/Signature-recognition

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 write their signature in a digitizing tablet, which acquires the signature in real time. Another possibility is the acquisition by means of stylus-operated PDAs. Some systems also operate on smart-phones or tablets with a capacitive screen, where users can sign using a finger or an appropriate pen. Dynamic recognition is also known as “on-line”. Dynamic information usually consists of the following information:

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