https://github.com/shibam120302/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…
https://github.com/shibam120302/signature_recognition

biometrics machine-learning ml ml-project project python-projects

Last synced: 16 days ago
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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…

• Host: GitHub
• URL: https://github.com/shibam120302/signature_recognition
• Owner: shibam120302
• License: mit
• Created: 2023-04-24T10:44:25.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-05-08T16:31:48.000Z (almost 2 years ago)
• Last Synced: 2024-11-20T23:32:04.612Z (3 months ago)
• Topics: biometrics, machine-learning, ml, ml-project, project, python-projects
• Language: Python
• Homepage:
• Size: 24.4 KB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# 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:

Before downloading the project download the necessary modules:

pip install keras

pip install numpy

pip install pandas

pip install sklearn

pip install os

pip install matplotlib