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Neural Network Fingerprint Recognition for Windows

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Used Neural Network Fingerprint Recognition for Windows?

Editors’ Review

Download.com staff
This Matlab source code offers an automated fingerprint recognition system using a neural network. It employs an MLP classifier trained with backpropagation for reliable results.

  • Pros

    • Neural network based automated fingerprint recognition
    • MLP classifier with one hidden layer
    • Backpropagation learning technique used for training
    • Features invariant under shift, rotation, and scaling
    • Good detection ratio and low failure rate

  • Cons

    • Reliable for small fingerprint data sets
    • No mention of real-world deployment capabilities
Icon of program: Neural Network Fingerprin…

Neural Network Fingerprint Recognition for Windows

Download now

Used Neural Network Fingerprint Recognition for Windows?

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Full Specifications

GENERAL
Release
Latest update
Version
1.0
OPERATING SYSTEMS
Platform
Windows
Operating System
  • Windows NT
  • Windows 2003
  • Windows XP
  • Windows 8
  • Windows 7
  • Windows 98
  • Windows 10
  • Windows Vista
  • Windows Server
  • Windows ME
  • Windows 2000
Additional Requirements
Matlab
POPULARITY
Total Downloads
327
Downloads Last Week
1
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Developer’s Description

By Luigi Rosa
Get a Matlab source code for neural network fingerprint recognition.
We have developed a neural network based approach for automated fingerprint recognition. Fingerprint image is classified via a multilayer perceptron (MLP) classifier with one hidden layer. The backpropagation learning technique is used for its training. Selected features are represented in a special way such that they are simultaneously invariant under shift, rotation and scaling. Simulation results are obtained with good detection ratio and low failure rate. The proposed method is found to be reliable for a system with a small set of fingerprint data.
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