This paper deals with Automatic Face Recognition (AFR), which means automatic identification of a person from a digital image. Our work focuses on an application for Czech News Agency that will facilitate to identify a person in a large database of photographs. The main goal of this paper is to propose some modifications and improvements of existing face recognition approaches and to evaluate t...

In this research ,we develop a facial image retrieval computational model for the problem of facial images retrieval by integrating content-based image retrieval (CBIR) techniques and face recognition techniques(FERET) , with the verbal description of the semantic features of the facial image . Eigenfaces is applied to extract the characteristic feature images of the human face images. One hund...

The discrimination of benign and malignant types of mammographic masses is a major challenge for radiologists. The classic Eigenfaces method was recently adapted for the detection of masses in mammograms. In the work at hand we investigate if this method is also suited for the problem of distinguishing benign and malignant types of this mammographic lesion. We furthermore evaluate two extended ...

In many face recognition systems the important part is face detection. The task of detecting face is complex due to its variability present across human faces including color, pose, expression, position and orientation. A face detection system based on principal component analysis algorithm and neural network techniques. Facial expression as a natural and efficient way of communication, it can ...

In this paper, we propose an ICA(Indepdendent Component Analysis) based face recognition algorithm, which is robust to illumination and pose variation. Generally, it is well known that the first few eigenfaces represent illumination variation rather than identity. Most PCA(Principal Component Analysis)-based methods have overcome illumination variation by discarding the projection to a few lead...

In this paper, we propose an Independent Component Analysis (ICA) based face recognition algorithm, which is robust to illumination and pose variation. Generally, it is well known that the 5rst few eigenfaces represent illumination variation rather than identity. Most Principal Component Analysis (PCA) based methods have overcome illumination variation by discarding the projection to a few lead...

”Eigenfaces for Recognition” seeks to implement a system capable of efficient, simple, and accurate face recognition in a constrained environment (such as a household or an office). The system does not depend on 3-D models or intuitive knowledge of the structure of the face (eyes, nose, mouth). Classification is instead performed using a linear combination of characteristic features (eigenfaces...

Coronavirus has <span>become one of the most deadly pandemics in 2021. Starting 2019, this virus is now a significant medical issue all over world. It spreading extensively because its modes transmission. The spreads directly, indirectly, or through close contact with infected people. proclaimed that people should wear mask public areas as counteraction measure, it helps suppressing A por...

Biometric Authentication works on some human characteristics, such as, finger print, voice, pattern of lines in the iris of eye or face. I represent a multiple face detection method based on skin color information and the Lines of Separability (LS) face model and recognition method based on principle component analysis and neural network. Face detection method uses YCbCr color model and sigma c...