Business Opportunity

1
Handwritten Signature Verification (HSV)

• The system considers over fifty aspects of the
  signature shape (area, turning points etc.) and
  dynamics (velocity, acceleration, duration etc.).
• System requirements are small at just 60
  kilobytes of disk space and 860 kilobytes of
  memory (less than one kilobyte of disk space is
  required for each user).
• Testing was done using an extensive database of
  thousands of forgeries and genuine signatures
  with an overall error rate (the sum of false
  acceptance and false rejection rates) of well
  under 3 resulting, compared to 5-7 for other
  systems in the biometric field.

• Business Opportunity
• Biometrics offer a range of superior technologies
  utilising human attributes for the purpose of
  security authentication. Whereas many biometric
  solutions raise issues of novelty and compulsion
  for consumers, signatures are an established
  method of verifying identity.
•  
• Handwritten Signature Verification HSV produces
  a signature profile by synthesising from several
  examples of an individuals signature a number of
  features that are unique to it, along with
  distinctive attributes such as speed and
  pressure. Verification and forgery detection on
  the basis of the profile is a computerised
  procedure, removing human error from the process.
•  
• The HSV system offers a robust security solution
  that can be implemented in a wide range of
  applications.
• Market
• Demand is growing with total biometric revenues
  estimated to grow from US730m in 2002 to US1.9b
  by 2005.
• In 2001 signature scan technology represented
  2.7 market share. At the current share of total
  revenues, signature scanning will represent a
  US51m market by 2005.
• By 2004 total emerging sector revenue (PC/Network
  Access, e-commerce and telephony, physical
  access and surveillance) is expected to surpass
  mature sector revenue (Criminal and citizen
  identification).
• Emerging sectors are estimated to grow by up to
  75 in 2003, and continuing to expand by 43 in
  2005.
• Technology
• The system combines the capabilities of two
  powerful artificial intelligence mechanisms in
  neural networks and hidden Markov models to
  produce a robust and accurate signature
  verification system. The system is an on-line (or
  dynamic) signature verification system and would
  be suitable for use in standalone security
  hardware (e.g. to sign into a building),
  e-commerce applications and handheld computer
  security.

Further information Mr. Alan McCabe Email
Alan.McCabe_at_jcu.edu.au, Ph. 07 4781 6903 or Marc
Shannon, Business Development Manger, ph 07 4781
6506