| Title |
Asmens identifikavimas pagal pirštų atspaudus ir balsą / |
| Translation of Title |
Person Identification by fingerprints and voice. |
| Authors |
Kisel, Andrej |
| Full Text |
|
| Pages |
42 |
| Keywords [eng] |
fingerprint synthesis ; fingerprint matching ; speaker identification ; group delay ; multibiometrics |
| Abstract [eng] |
This dissertation focuses on person identification problems and proposes solutions to overcome those problems. First part is about fingperprint feaures extraction algorithm performance evaluaiton. Modifications to a known synthesis algorithm are proposed to make it fast and suitable for performance evaluation. Matching of deformed fingerprints is discussed in the second part of the work. New fingerprint matching algorithm that uses local structures and does not perform fingerprint alignment is proposed to match deformed fingerprints. The use of group delay features of linear prediciton model for speaker identification is proposed in the third part of the work. New similarity metric that uses group delay features is described. It is demonstrated that automatic speaker identification system with proposed features and similarity metric outperforms traditional speaker identification systems. Multibiometrics using fingerprints and voice is adressed in the last part of the dissertation. |
| Type |
Summaries of doctoral thesis |
| Language |
Lithuanian |
| Publication date |
2010 |
