A Novel Method for Age Invariant Face Recognition

نویسنده

  • R. Prema
چکیده

Security and authorization of person is a crucial part of any industry or organization. There are many techniques are available in the industry .Techniques are Password management system, ,finger print, signature matching etc., one of them is face recognition system. It has received substantial attention from researchers in various fields of science such as biometrics and image processing and Face Recognition system. Many researches in face recognition have been dealing with the challenge of the great variability in head pose, lighting intensity and direction, facial expression, identical twins. One of them is aging face recognition is a challenging task due to the existence of a high degree of correlation in overall facial appearance. In this paper, a face recognition system using Principal Component Analysis (PCA) and deep age face verification.(DAFV).

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Face Detection with methods based on color by using Artificial Neural Network

The face Detection methodsis used in order to provide security. The mentioned methods problems are that it cannot be categorized because of the great differences and varieties in the face of individuals. In this paper, face Detection methods has been presented for overcoming upon these problems based on skin color datum. The researcher gathered a face database of 30 individuals consisting of ov...

متن کامل

Robust Geometrically Invariant Features for 2 D Shape Matching and 3 D Face Recognition

Invariant features play a key role in object and pattern recognition studies. Features that are invariant to geometrical transformations offer succinct representations of underlying objects so that they can be reliably identified. In this dissertation, we introduce a family of novel invariant features based on Cartan’s theory of moving frames. We call these new features summation invariants. Co...

متن کامل

Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval

Recently, promising results have been shown on face recognition researches. However, face recognition and retrieval across age is still challenging. Unlike prior methods using complex models with strong parametric assumptions to model the aging process, we use a data-driven method to address this problem. We propose a novel coding framework called Cross-Age Reference Coding (CARC). By leveragin...

متن کامل

A New Fast and Efficient HMM-Based Face Recognition System Using a 7-State HMM Along With SVD Coefficients

In this paper, a new Hidden Markov Model (HMM)-based face recognition system is proposed. As a novel point despite of five-state HMM used in pervious researches, we used 7-state HMM to cover more details. Indeed we add two new face regions, eyebrows and chin, to the model. As another novel point, we used a small number of quantized Singular Values Decomposition (SVD) coefficients as feature...

متن کامل

3D Face Recognition using Patch Geodesic Derivative Pattern

In this paper, a novel Patch Geodesic Derivative Pattern (PGDP) describing the texture map of a face through its shape data is proposed. Geodesic adjusted textures are encoded into derivative patterns for similarity measurement between two 3D images with different pose and expression variations. An extensive experimental investigation is conducted using the publicly available Bosphorus and BU-3...

متن کامل

How Does Aging Affect Facial Components?

There is growing interest in achieving age invariant face recognition due to its wide applications in law enforcement. The challenge lies in that face aging is quite a complicated process, which involves both intrinsic and extrinsic factors. Face aging also influences individual facial components (such as the mouth, eyes, and nose) differently. We propose a component based method for age invari...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2017