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AOV Based Fingerprint Minutiae Matching System for Windows

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Editors’ Review

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AOV Based Fingerprint Minutiae Matching System is a Matlab tool for highly secure, automated identification. It uses a novel adjacent orientation vector feature for robust minutiae matching, suitable for payroll and access control.

  • Pros

    • Uses novel Adjacent Orientation Vector (AOV) feature.
    • Applies rotation and translation to minutiae sets.
    • Incorporates preliminary matching for enhanced reliability.
    • Features fine matching to mitigate possible distortion.
    • Designed for highly secured, automated identification systems.

  • Cons

    • Requires Matlab environment for execution.
    • Offered as source code, not a compiled application.
    • First release version, potential for limited features.
    • Lacks specified graphical user interface.
    • No mention of broader system integration options.
Icon of program: AOV Based Fingerprint Min…

AOV Based Fingerprint Minutiae Matching System for Windows

Download now

Used AOV Based Fingerprint Minutiae Matching System for Windows?

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Full Specifications

GENERAL
Release
Latest update
Version
1
OPERATING SYSTEMS
Platform
Windows
Operating System
  • Windows 98
  • Windows 3
  • Windows XP
  • Windows 10
  • Windows Vista
  • Windows NT
  • Windows 2000
  • Windows 95
  • Windows ME
Additional Requirements
Windows 3.x/95/98/Me/NT/2000/XP/2003 Server/Vista, Matlab
POPULARITY
Total Downloads
2,125
Downloads Last Week
10
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Developer’s Description

By Luigi Rosa
Get a fingerprint recognition tool.

AOV Based Fingerprint Minutiae Matching System - Matlab source code. Minutia matching is the most popular approach to fingerprint recognition. We have developed a novel fingerprint feature named adjacent orientation vector, or AOV, for fingerprint matching. In the first stage, AOV is used to find possible minutiae pairs. Then one minutiae set is rotated and translated. This is followed by a preliminary matching to ensure reliability as well as a fine matching to overcome possible distortion. Such method has been deployed to a payroll and security access information system and its workability is encouraging.

The information system aims to offer a highly secured and automated identification system for payroll tracking as well as authorized access to working areas. This software is based on the paper "Adjacent orientation vector based fingerprint minutiae matching system", G. S. Ng, X. Tong, X. Tang and D. Shi, Pattern Recognition, ICPR 2004. This version is the first release on CNET Download.com.

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