Özet
Despite increasing three dimensional recognition rate in ear biometric, there is need for special equipment to three dimensional image. Ear biometrics recognition rate was obtained high success by combined distinctive common vector approach methods with support vector machines in two-dimensional low-resolution cameras used surveillance and security system. In particular, this method will provide an important contribution to the non-cooperative personnel identification.
| Tercüme edilen katkı başlığı | A comparison of PCA, LDA and DCVA in ear biometrics classification using SVM |
|---|---|
| Orijinal dil | Türkçe |
| Ana bilgisayar yayını başlığı | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings |
| Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
| Sayfalar | 1260-1263 |
| Sayfa sayısı | 4 |
| ISBN (Elektronik) | 9781467373869 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - 19 Haz 2015 |
| Etkinlik | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Malatya, Turkey Süre: 16 May 2015 → 19 May 2015 |
Yayın serisi
| Adı | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings |
|---|
???event.eventtypes.event.conference???
| ???event.eventtypes.event.conference??? | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 |
|---|---|
| Ülke/Bölge | Turkey |
| Şehir | Malatya |
| Periyot | 16/05/15 → 19/05/15 |
Bibliyografik not
Publisher Copyright:© 2015 IEEE.
Keywords
- 2D ear recognition
- Biometrics
- Discriminative common vector approach
- linear discriminant analysis
- principal component analysis
- support vector machines
Parmak izi
DVM ile kulak biyometrisi siniflandirilmasinda TBA, DAA ve AOVY'nin performansinin karşilaştirilmasi' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.Alıntı Yap
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver