Multibiometric identification by using ear, face, and thermal face
EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, 2018 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Basım Tarihi: 2018
- Doi Numarası: 10.1186/s13640-018-0274-x
- Dergi Adı: EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Anahtar Kelimeler: Multibiometrics, Matching score-level fusion, Feature-level fusion, Ear, Face, Thermal face
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Yıldız Teknik Üniversitesi Adresli: Evet
Özet
In this work, a secure multibiometric system is proposed. Three different biometric modalities which are ear, face, and thermal face are considered. The face and thermal face data were taken from USTC NVIE Spontaneous Database, whereas the ear data were collected from IIT Delhi Ear Image Database. For each modality, three feature extraction methods are used and four different classifiers (multilayer perceptron, decision tree, support vector machines, and probabilistic neural network) are trained by using two fusion methods which are matching score level and feature level fusion. According to the results, the individual biometrics are better for the identification problem. However, for the validation problem, both fusion methods give better false acceptance rate/false rejection rate values regarding to individual biometrics.