An Algorithm for Fingerprint Classification Using Template Matching Technique
Automatic fingerprint classification has received considerable attention over the past decade. Despite significant progress in this field, there are still rooms for improving the classification operation by continuing study and research in this field. This thesis describes a study of fingerprint...
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2002
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my-upm-ir.110872024-05-17T01:09:52Z An Algorithm for Fingerprint Classification Using Template Matching Technique 2002-10 Al-Kaissi, Ahmed Wathik Naji Automatic fingerprint classification has received considerable attention over the past decade. Despite significant progress in this field, there are still rooms for improving the classification operation by continuing study and research in this field. This thesis describes a study of fingerprint classification using template matching technique. We have classified the fingerprints in four groups according to their pattern, which are Arch, Left loop, Right loop, and Whorl. We have discussed and explained the specification and the limitations of the fingerprint classification (the effect of corrupted and rotated input fingerprints on the accuracy of the classification operation). The thesis has analysed the mentioned technique and evaluated its strengths and limitation by comparing this technique with the singularities technique. This research has also included the pre-processing stage, which consist of enhancement, segmentation, and thinning of fingerprints. 2002-10 Thesis http://psasir.upm.edu.my/id/eprint/11087/ http://psasir.upm.edu.my/id/eprint/11087/1/FK_2002_26.pdf text en public masters Universiti Putra Malaysia Faculty of Engineering Ramli, Abd Rahman English |
| institution |
Universiti Putra Malaysia |
| collection |
PSAS Institutional Repository |
| language |
English English |
| advisor |
Ramli, Abd Rahman |
| topic |
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| spellingShingle |
Al-Kaissi, Ahmed Wathik Naji An Algorithm for Fingerprint Classification Using Template Matching Technique |
| description |
Automatic fingerprint classification has received considerable attention over the past
decade. Despite significant progress in this field, there are still rooms for improving
the classification operation by continuing study and research in this field. This thesis
describes a study of fingerprint classification using template matching technique. We
have classified the fingerprints in four groups according to their pattern, which are
Arch, Left loop, Right loop, and Whorl. We have discussed and explained the
specification and the limitations of the fingerprint classification (the effect of
corrupted and rotated input fingerprints on the accuracy of the classification
operation). The thesis has analysed the mentioned technique and evaluated its
strengths and limitation by comparing this technique with the singularities technique.
This research has also included the pre-processing stage, which consist of
enhancement, segmentation, and thinning of fingerprints. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Al-Kaissi, Ahmed Wathik Naji |
| author_facet |
Al-Kaissi, Ahmed Wathik Naji |
| author_sort |
Al-Kaissi, Ahmed Wathik Naji |
| title |
An Algorithm for Fingerprint Classification Using Template Matching Technique |
| title_short |
An Algorithm for Fingerprint Classification Using Template Matching Technique |
| title_full |
An Algorithm for Fingerprint Classification Using Template Matching Technique |
| title_fullStr |
An Algorithm for Fingerprint Classification Using Template Matching Technique |
| title_full_unstemmed |
An Algorithm for Fingerprint Classification Using Template Matching Technique |
| title_sort |
algorithm for fingerprint classification using template matching technique |
| granting_institution |
Universiti Putra Malaysia |
| granting_department |
Faculty of Engineering |
| publishDate |
2002 |
| url |
http://psasir.upm.edu.my/id/eprint/11087/1/FK_2002_26.pdf |
| _version_ |
1804888614339870720 |