In this research, a robust face recognition method based on adaptive image matching and a
dictionary learning algorithm was proposed. A Fisher discriminant constraint was introduced …

Sparse representation based on classification and collaborative representation based
classification with regularized least square has been successfully used in face recognition …

Dictionary learning is one of the most important algorithms for face recognition. However,
many dictionary learning algorithms for face recognition have the problems of small sample …

In order to overcome the defect that the face recognition (FR) rate is greatly reduced in the
existing uncontrolled environments such as the change of illumination, occlusion, and …

In recent years, with the progress of technology, face recognition is used more and more
widely in various fields. The classification algorithm based on sparse representation has …

Sparse representation-based classification (SRC) method has gained great success in face
recognition due to its encouraging and impressive performance. However, in SRC the data …

This paper proposed a new face recognition algorithm based on Haar-Like features and
Gentle Adaboost feature selection via sparse representation. Firstly, All the images including …

For sparse face recognition algorithm lacking of identification information, face recognition
based on collaborative representation with dictionary learning is proposed. Firstly the LC …

The existing face recognition algorithms used in intelligent monitoring system are mainly
applied to short distance images, which still have the problem of low face recognition rate …

This paper introduces a real-time face detection technology based on TMS320C6201.
Through the confidential communication between each subsystem, the synchronization of …