Applications such as human–computer interaction, surveillance, biometrics and intelligent
marketing would benefit greatly from knowledge of the attributes of the human subjects …

We present a novel classification technique based on sparse representation. The main idea
of sparse representation for classification is the assumption that the training samples, or …

In this paper, we present an automated system for robust biometric recognition based upon
sparse representation and dictionary learning. In sparse representation, extracted features …

Ear biometrics attracted the attention of researchers in computer vision and machine
learning for its use in many applications. In this paper, we present a fully automated system …

Biometrics attracted the attention of researchers in computer vision and machine learning for
its use in many applications. We propose systems for face and ear recognition, gender …

In this chapter, we briefly cover sparse representation classification for single modality and
its extension for multimodal data. Understanding SRC is vital for the discussions in Chapters …