Kiswanto, An Nisa Santi (2013) FINGERPRINT RECOGNITION USING MINUTIAE E XTRACTION. Other thesis, Unika Soegijapranata Semarang.
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Abstract
Fingerprint has been used to identify person since a century ago because of its uniqueness. The uniqueness of a fingerprint is exclusively determined by the local ridge characteristics. There are two most prominent characteristic; ridge termination and ridge bifurcation. These two characteristics, which are called minutiae, can be generated as fingerprint template. This study discusses about creating a secure fingerprint template based on Minimum Distance Graph (MDG). This algorithm offers a non-retrievable true minutiae location, and does not need alignment process. The matching algorithm Correspondence Search Algorithm also tested to match query hash against stored hashes. The experiment result shows that this algorithm really depends on core point. The absence of core point affects the matching accuracy.
| Item Type: | Thesis (Other) |
|---|---|
| Subjects: | 000 Computer Science, Information and General Works |
| Divisions: | Faculty of Computer Science |
| Depositing User: | Mrs Christiana Sundari |
| Date Deposited: | 23 Oct 2018 07:14 |
| Last Modified: | 23 Oct 2018 07:14 |
| URI: | http://repository.unika.ac.id/id/eprint/17105 |
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