This paper mainly addresses the building of face recognition system by using Principal
Component Analysis (PCA). PCA is a statistical approach used for reducing the number of …

Data classification and data processing are relevant tasks in the field of automatic
information processing. For successful functioning of the data classification and data …

Due to the rapid evolution of modern image processing and pattern recognition techniques,
there exists a variety of biometric techniques like fingerprints, iris (retina) scans, and speech …

The aim of this research is to produce a critical survey on detecting and extracting human
face with the features over the past 10-15 years. Face Detection is one of the most common …

The aim of the project is to implement a facial recognition system for access control to enter
a room. The facial image captured by a webcam and then be detected/tracked using Haar …

In this paper, the design and development of a home security system has been detailed
which uses facial recognition to conform the identity of the visitor and taking various security …

Face detection is the process of identifying a human face where as face recognition is the
process of verification of any known person's face from the system's database. Thus human …

Existing methods for performing face recognition in the presence of blur are based on the
convolution model and cannot handle non-uniform blurring situations that frequently arise …

In this research paper we have developed a human face recognition system using principal
component analysis (PCA) with back propagation neural network (BPNN). There are many …

Face acknowledgment is a testing issue because of variety in demeanor, posture,
brightening and maturing and so on. The presented paper basically deals with the working …