Used Neural Networks Based Signature Recognition for Windows?


Editors’ Review

Download.com staff
This application performs biometric signature recognition by utilizing neural networks. It verifies individual identity by analyzing behavioral signature components such as stroke order, speed, and pressure, moving beyond traditional visual comparisons.

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  • Pros

    • Utilizes neural networks for biometric recognition.
    • Analyzes behavioral signature components: stroke order, speed, pressure.
    • Measures the physical activity of signing for verification.
    • Verifies individual identity dynamically.
    • Optionally integrates static visual signature comparison.
  • Cons

    No Cons available


Used Neural Networks Based Signature Recognition for Windows?


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Full Specifications

GENERAL
Release
Latest update
Version
1.0
OPERATING SYSTEMS
Platform
Windows
Operating System
  • Windows 3
  • Windows NT
  • Windows 95
  • Windows ME
  • Windows 98
  • Windows 2003
  • Windows 2000
  • Windows Server
  • Windows 10
  • Windows XP
  • Windows Vista
Additional Requirements
Matlab 7.0
POPULARITY
Total Downloads
1,593
Downloads Last Week
0

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Developer’s Description

Perform biometric signature recognition using neural networks.

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