A multiresolution approach to computer verification of handwritten signatures.

Persistent Link:
http://hdl.handle.net/10150/186548
Title:
A multiresolution approach to computer verification of handwritten signatures.
Author:
Qi, Yingyong.
Issue Date:
1993
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
This dissertation presents procedures and results of works on computer signature verification. Two methods were developed and evaluated. First, verification was made using multi-resolution feature representation. This multi-resolution feature representation included global geometric characteristics and wavelet transformations of a signature image. A number of algorithms were developed to extract the global geometric features. A vector quantization classifier and a neural-network classifier were designed to use the multi-resolution representation for verification. Second, verification was made using a grid approach. In this approach, a signature image was divided by a grid and verification was made based on grid features that approximate local structures of a signature image. The grid feature comparison was made using dynamic programming procedures. Results indicated that both systems could detect free-handed forgeries accurately and could also monitor simulated forgeries with reasonable accuracy.
Type:
text; Dissertation-Reproduction (electronic)
Keywords:
Dissertations, Academic.; Electrical engineering.; Computer science.
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Electrical and Computer Engineering; Graduate College
Degree Grantor:
University of Arizona
Committee Chair:
Hunt, Bobby R.

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleA multiresolution approach to computer verification of handwritten signatures.en_US
dc.creatorQi, Yingyong.en_US
dc.contributor.authorQi, Yingyong.en_US
dc.date.issued1993en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractThis dissertation presents procedures and results of works on computer signature verification. Two methods were developed and evaluated. First, verification was made using multi-resolution feature representation. This multi-resolution feature representation included global geometric characteristics and wavelet transformations of a signature image. A number of algorithms were developed to extract the global geometric features. A vector quantization classifier and a neural-network classifier were designed to use the multi-resolution representation for verification. Second, verification was made using a grid approach. In this approach, a signature image was divided by a grid and verification was made based on grid features that approximate local structures of a signature image. The grid feature comparison was made using dynamic programming procedures. Results indicated that both systems could detect free-handed forgeries accurately and could also monitor simulated forgeries with reasonable accuracy.en_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
dc.subjectDissertations, Academic.en_US
dc.subjectElectrical engineering.en_US
dc.subjectComputer science.en_US
thesis.degree.namePh.D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineElectrical and Computer Engineeringen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.chairHunt, Bobby R.en_US
dc.contributor.committeememberStrickland, Robin N.en_US
dc.contributor.committeememberRodriguez, Jeffrey J.en_US
dc.identifier.proquest9421755en_US
dc.identifier.oclc721968125en_US
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