Multibiometric identification by using ear, face, and thermal face
نویسندگان
چکیده
منابع مشابه
Multibiometric human recognition using 3D ear and face features
We present automatic extraction of local 3D features (L3DF) from ear and face biometrics and their combination at the feature and score levels for robust identification. To the best of our knowledge, this paper is the first to present feature level fusion of 3D features extracted from ear and frontal face data. Scores from L3DF based matching are also fused with iterative closest point algorith...
متن کاملMultibiometric Complex Fusion for Visible and Thermal Face Images
Unimodal biometric systems have to contend with various inherent limitations, such as restricted degrees of freedom, non-universality, susceptibility to spoofing attacks and unacceptable error rates. Multibiometric systems, which fuse two or more biometrics traits together, are able to effectively overcome most of these problems. In this paper, different face traits are fused considering conven...
متن کاملPerformance Evaluation of Multibiometric Face Recognition Systems
The 3D Face project investigates the use of 3D face recognition technologies, and aims to improve their performance so that it would be possible to use such technologies in unsupervised access control scenarios in airports. During this project novel sensors, 2D, 3D, skin texture matchers and fusion algorithms have been developed. A technology performance test has been performed on all algorithm...
متن کاملFace identification by deformation measure
This paper studies the problem of face identification for the particular application of an automatic cash machine withdrawal: the problem is to decide if a person identifying himself by a secret code is the same person registered in the data base. The identification process consists of three main stages. The localization of salient features is obtained by using morphological operators and spati...
متن کاملThermal Face Recognition Using Moments Invariants
Face recognition using different imaging modalities, particularly infrared imaging sensors, has become an area of growing interest. The use of thermal IR images can improve the performance of face recognition in uncontrolled illumination conditions. In this paper, we present a new technique for face recognition based on statistical calculations of thermal images. We propose the use of moments i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: EURASIP Journal on Image and Video Processing
سال: 2018
ISSN: 1687-5281
DOI: 10.1186/s13640-018-0274-x