Thesis (MEng)--University of Stellenbosch, 2000. / ENGLISH ABSTRACT: Handwritten signature verification (HSV) is the process through which handwritten
signatures are analysed in an attempt to determine whether the person who made the
signature is who he claims to be.
Banks and other financial institutions lose billions of rands annually to cheque fraud
and other crimes that are preventable with the aid of good signature verification
techniques. Unfortunately, the volume of cheques that are processed precludes a
thorough HSV process done in the traditional manner by human operators.
It is the aim of this research to investigate new methods to compare signatures
automatically, to eventually speed up the HSV process and improve on the accuracy
of existing systems.
The new technology that is investigated is the use of the so-called hidden Markov
models (HMMs). It is only quite recently that the computing power has become
commonly available to make the real-time use of HMMs in pattern recognition a
possibility.
Two demonstration programs, SigGrab and Securitlheque, have been developed that
make use of this technology, and show excellent improvements over other techniques
and competing products. HSV accuracies in excess of99% can be attained. / AFRIKAANSE OPSOMMING: Handgeskrewe handtekening verifikasie (HHV) is die proses waardeur handgeskrewe
handtekeninge ondersoek word in 'n poging om te bevestig of die persoon wat die
handtekening gemaak het werklik is wie hy voorgee om te wees.
Banke en ander finansiele instansies verloor jaarliks biljoene rande aan tjekbedrog en
ander misdrywe wat voorkom sou kon word indien goeie metodes van handtekening
verifikasie daargestel kon word. Ongelukkig is die volume van tjeks wat hanteer word
so groot, dat tradisionele HHV deur menslike operateurs 'n onbegonne taak is.
Dit is die doel van hierdie navorsmg om nuwe metodes te ondersoek om
handtekeninge outomaties te kan vergelyk en so die HHV proses te bespoedig en ook
te verbeter op die akkuraatheid van bestaande stelsels.
Die nuwe tegnologie wat ondersoek is is die gebruik van die sogenaamde verskuilde
Markov modelle (VMMs). Dit is eers redelik onlangs dat die rekenaar
verwerkingskrag algemeen beskikbaar geraak het om die intydse gebruik van VMMs
in patroonherkenning prakties moontlik te maak.
Twee demonstrasieprogramme, SigGrab en SecuriCheque, is ontwikkel wat gebruik
maak van hierdie tegnologie en toon uitstekende verbeterings teenoor ander tegnieke
en kompeterende produkte. 'n Akkuraatheid van 99% of hoer word tipies verkry.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:sun/oai:scholar.sun.ac.za:10019.1/51784 |
| Date | 12 1900 |
| Creators | Le Riche, Pierre (Pierre Jacques) |
| Contributors | Du Preez, J. A., Herbst, B. M., Stellenbosch University. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. |
| Publisher | Stellenbosch : Stellenbosch University |
| Source Sets | South African National ETD Portal |
| Language | en_ZA |
| Detected Language | Unknown |
| Type | Thesis |
| Format | 1 v. (various pagings) : ill. |
| Rights | Stellenbosch University |
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