| Title |
Person Identification by Fingerprints and Voice / |
| Translation of Title |
Asmens identifikavimas pagal pirštų atspaudus ir balsą. |
| Authors |
Kisel, Andrej |
| Full Text |
|
| Pages |
102 |
| Keywords [eng] |
fingerprint synthesis ; fingerprint recognition ; speaker identificatin ; multibiometrics |
| Abstract [eng] |
This dissertation focuses on person identification problems and proposes solutions to overcome those problems. First part is about fingerprint features extraction algorithm performance evaluation. 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 prediction model for speaker recognition 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 recognition system with proposed features and similarity metric outperforms traditional speaker identification systems . Multibiometrics using fingerprints and voice is addressed in the last part of the dissertation. |
| Type |
Doctoral thesis |
| Language |
English |
| Publication date |
2010 |
