Used Signature Recognition System for Windows?


Editors’ Review

Download.com staff
This system authenticates individuals using handwritten signature verification. It offers a cost-effective biometric solution for identity verification, overcoming high equipment costs associated with other biometric methods for daily use.
  • Pros

    • Offers cost-effective biometric authentication.
    • Suitable for widespread, day-to-day authentication scenarios.
    • Verifies and authenticates individual identity.
    • Processes signatures as unique pixel pattern images.
    • Utilizes feature extraction to minimize intrapersonal variation.
  • Cons

    • Signature verification is an inherently difficult problem.
    • Vulnerable to skilled forgeries mimicking genuine patterns.
    • Offline data acquisition loses dynamic information like speed and pressure.

Used Signature Recognition System for Windows?


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Full Specifications

GENERAL
Release
Latest update
Version
1.0
OPERATING SYSTEMS
Platform
Windows
Operating System
  • Windows 7
  • Windows Server
  • Windows ME
  • Windows Vista
  • Windows 2003
  • Windows 98
  • Windows NT
  • Windows 10
  • Windows XP
  • Windows 8
  • Windows 2000
Additional Requirements
Matlab, Matlab Image Processing Toolbox
POPULARITY
Total Downloads
2,988
Downloads Last Week
0

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Developer’s Description

Get a signature recognition system.
There exist a number of biometrics methods today e.g. Signatures, Fingerprints, Iris. There is considerable interest in authentication based on handwritten signature verification system as it is the cheapest way to authenticate the person. Fingerprints and Iris verification require the installation of costly equipments and hence can not be used at day to day places like Banks. As because Forensic experts can not be employed at every place, there has been considerable effort towards developing algorithms that could verify and authenticate the individual's identity . Many times the signatures are not even readable by human beings. Therefore a signature is treated as an image carrying a certain pattern of pixels that pertains to a specific individual. Signature Verification Problem therefore is concerned with determining whether a particular signature truly belongs to a person or not.

Signatures are a special case of handwriting in which special characters and flourishes are viable. Signature Verification is a difficult pattern recognition problem as because no two genuine signatures of a person are precisely the same. Its difficulty also stems from the fact that skilled forgeries follow the genuine pattern unlike fingerprints or irises where fingerprints or irises from two different persons vary widely. Ideally interpersonal variations should be much more than the intrapersonal variations. Therefore it is very important to identify and extract those features which minimize intrapersonal variation and maximize interpersonal variations. There are two approaches to signature verification, online and offline differentiated by the way data is acquired. In offline case signature is obtained on a piece of paper and later scanned. While in online case signature is obtained on an electronic tablet and pen. Obviously dynamic information like speed, pressure is lost in offline case unlike online case.


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