TY - JOUR
T1 - Multibiometric identification by using ear, face, and thermal face
AU - Bayram, Kadir Sercan
AU - Bolat, Bülent
N1 - Publisher Copyright:
© 2018, The Author(s).
PY - 2018/12/1
Y1 - 2018/12/1
N2 - 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.
AB - 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.
KW - Ear
KW - Face
KW - Feature-level fusion
KW - Matching score-level fusion
KW - Multibiometrics
KW - Thermal face
UR - http://www.scopus.com/inward/record.url?scp=85048072545&partnerID=8YFLogxK
U2 - 10.1186/s13640-018-0274-x
DO - 10.1186/s13640-018-0274-x
M3 - Article
AN - SCOPUS:85048072545
SN - 1687-5176
VL - 2018
JO - Eurasip Journal on Image and Video Processing
JF - Eurasip Journal on Image and Video Processing
IS - 1
M1 - 32
ER -