1 Introduction Recognition of human faces out of still images or image sequences is a research eld of fast increasing interest. There are many diierent applications for systems coping with the problem of face localization and recognition, e.g. model-based video coding, security systems, mug shot matching. Due to variations in illumination, background, visual angle and facial expressions, the pr...

Face recognition has been a fast growing, challenging and interesting area in real-time applications. A large number of face recognition algorithms have been developed for decades. The paper presents novel Haatlet Pyramid based face recognition technique. Here face recognition is done using the image feature set extracted from Haarlets applied on the image at various levels of decomposition. He...

Face recognition system is an application for identifying someone from image or videos. Face recognition is classified into three stages ie)Face detection,Feature Extraction ,Face Recognition. Face detection method is a difficult task in image analysis. Face detection is an application for detecting object, analyzing the face, understanding the localization of the face and face recognition.It i...

In this dissertation, we focus on several aspects of models that aim to predict performance of a face recognition system. Performance prediction models are commonly based on the following two types of performance predictor features: a) image quality features; and b) features derived solely from similarity scores. We first investigate the merit of these two types of performance predictor feature...

Keywords: Generative models Face model Face analysis Morphable Model Bayesian model Implicit background models a b s t r a c t Face image interpretation with generative models is done by reconstructing the input image as well as possible. A comparison between the target and the model-generated image is complicated by the fact that faces are surrounded by background. The standard likelihood form...

Despite the many advances in face recognition technology, practical face detection and matching for unconstrained images remain challenging. A real-world Face Image Retrieval (FIR) system is described in this paper. It is based on an optimally weighted image descriptor ensemble utilized in a single-imageper-person (SIPP) approach that works with large unconstrained digital photo collections. Th...

An effective novel approach of detection and classification of real face image from tampered face image based on second order gradient is proposed in this paper. The intended purpose of proposed approach is to endorse the biometric authentication, by joining the vitality awareness with Facial Recognition Technology (FRT). The proposed method requires only one face image without requirement of a...

Image Retrieval is a field of study concerned with searching and retrieving images from a collection of database. Face image retrieval is still a challenging task since face images can vary noticeably in terms of facial expressions, lighting conditions etc. In this paper we propose a face image retrieval method using Orthogonal Moments (Tchebichef Moment). This method extracts the feature from ...

Recently as computer technology and multimedia information have developed, text information as well as various types of image information can easy to obtain and be stored. In this paper, we proposed the efficient method of context based image retrieval to extract the face image and audio features in the video sequence. The eigenvectors for face can be obtained by the principal component analysi...