Several researchers are currently investigating the subject of person recognition; however
there are some areas that even the researchers have not explored. One of these areas is …

At present, the correct recognition rate of face recognition algorithm is limited under
unconstrained conditions. To solve this problem, a face recognition algorithm based on …

Image restoration is a technique that utilizes the edge of a corrupted area. The information
content of the damaged information area is inferred based on the remaining information of …

Because there are a lot of noise data in the partially occluded face image, the existing
recognition methods have the problems of low recall rate and long time consumption. In this …

The aim of this paper is the development of a facial recognition system, implemented
through software, using Python and OpenCV. Haarcascade and LBPH techniques are …

This paper is based on the recognition of faces using string matching. The approximate
string matching is a method for finding an approximate match of a pattern within a string …

In order to overcome the problems of large recognition error and low recognition accuracy in
the existing face pose recognition models, the paper proposes and constructs a new multi …

This paper is based on the recognition of faces using string matching. The approximate
string matching is a method for finding an approximate match of a pattern within a string …

A synthetic aperture de-occlusion algorithm based on the microlens array (MLA) is
proposed. This kind of light field camera could obtain the original image data. This paper …