… deep learning works utilized in the area of biometrics recognition. … biometric. Finally, we
explore the challenges associated with deep learning-based methods in biometrics recognition …

… there are many other possible biometrics, including gait, ear … of machine learning methods
used for biometrics applications… methods for biometric template construction and recognition, …

… life of the machine learning. In this study; the techniques, methods, technologies used in
biometric systems are researched, machine learning techniques used biometric aplications are …

… with machine learning methods for recognition of humans based on face and iris biometrics.
… We highlight an important role of machine learning in this area and we concentrate mainly …

… of four machine learning algorithms for the fusion of the similarity scores of several biometric
experts to form a multimodal biometrics system, aiming to raise significantly the recognition …

… Authors review existing methodologies, propose new approaches, and build systems on
fairly diversified applications including face recognition, activity recognition, and biometric …

… , this paper presents a multimodal biometrics recognition system based on the new local …
Learning Machine (VBELM) for face and fingerprint multimodal biometrics. The multimodal …

… different types of regular biometric traits, namely fingerprint, … context, Electrocardiogram based
Biometric recognition is an … approach to ECG based Biometric recognition, which contains …

… biometric recognition systems, along with the corresponding … defense mechanisms for
biometric recognition systems but … learning, which can help countering attacks against machine-…

… This paper proposes a novel framework for a multibiometric system through learning … vector
machine. Few previous works have studied biometrics in the context of metric learning, and …