K-nearest neighbor rule (KNN) is one of the most widely used methods in pattern
recognition. However, the KNN-based classification performance is severely affected by the …

Face biometric has received more attention to recognize a person in a right way. However,
the face recognition is considered to be hard due to size, ethnicity, illumination, pose …

In the world of ubiquitous computing, fuzzy logic has been emerged as an important
research area in the field of face recognition (FR) applications. In this paper, a new efficient …

Collaborative representation classification (CRC) has attracted increasing attention in face
recognition (FR) tasks. The two-phase sparse representation (TPSR) methods are the …

In the past few years, face recognition (FR) based on sparse representation is providing very
good classification accuracy which calls for further research to exploit its capabilities to the …

Classifiers such as sparse representation or collaborative representation can get good
performance in face recognition. But these methods require a number of train samples in …

Face recognition using sparse representation-based classification (SRC) is a new hot
technique in recent years. However, the research indicates that it is the collaborative …

In the past few years, face recognition based on sparse representation is providing
satisfactory classification accuracy. Face images involved in real life applications usually …

Collaborative representation is well known owing to its good performance in classification,
especially classification on high-dimensional data. Collaborative representation does very …

Abstract Representation-based classification methods have brought into sharp focus in
recent years and achieved better classification performance. Both collaborative …