Face recognition is widely used in various applications like in bank applications, at airport or at ATM centre for security purposes etc. There are various methods used for face recognition problem. In this paper I propose new method known as Markov field GroupWise registration in which mean of all the faces from the database will be calculated first and then this mean will be compared with the testing image. To implement these modules, four open source databases like FERET, CAS-PEAL-R1, FRGC ver. 2.0, and the LFW are required. My work will achieve good result as compared to previous methods. DOI: 10.17762/ijritcc2321-8169.15052
The work presented in this paper focuses on the use of Hidden Markov Models for face recognition. A ...
This article investigated the problem of using machine learning algorithms to recognize and identify...
Face recognition is one of the most important biometric approaches due to its potential applications...
In this paper, we propose a new framework for tackling face recognition problem. The face recognitio...
One of the important research area in image processing is face recognition. We introduce a new frame...
In the present research, a face recognition method is proposed based on the concept of linear discri...
In this paper, a new scheme to address the face recognition problem is proposed. Different from trad...
Abstract — Face Recognition has been one of the most interesting and important research fields in th...
We propose a hybrid face recognition method that combines holistic and feature analysis-based approa...
It has been previously demonstrated that systems based on local features and relatively complex stat...
AbstractBiometric detection is considered as an important tool for states to use to strengthen the s...
Increased interest in biometric security systems makes face recognition a very effective research ar...
Face recognition is one of the most successful applications of image analysis and understanding and ...
This dissertation introduces work on face recognition using a novel technique based on Hidden Marko...
In this paper, we present a novel approach for recognition of human faces using Markov Random Fields...
The work presented in this paper focuses on the use of Hidden Markov Models for face recognition. A ...
This article investigated the problem of using machine learning algorithms to recognize and identify...
Face recognition is one of the most important biometric approaches due to its potential applications...
In this paper, we propose a new framework for tackling face recognition problem. The face recognitio...
One of the important research area in image processing is face recognition. We introduce a new frame...
In the present research, a face recognition method is proposed based on the concept of linear discri...
In this paper, a new scheme to address the face recognition problem is proposed. Different from trad...
Abstract — Face Recognition has been one of the most interesting and important research fields in th...
We propose a hybrid face recognition method that combines holistic and feature analysis-based approa...
It has been previously demonstrated that systems based on local features and relatively complex stat...
AbstractBiometric detection is considered as an important tool for states to use to strengthen the s...
Increased interest in biometric security systems makes face recognition a very effective research ar...
Face recognition is one of the most successful applications of image analysis and understanding and ...
This dissertation introduces work on face recognition using a novel technique based on Hidden Marko...
In this paper, we present a novel approach for recognition of human faces using Markov Random Fields...
The work presented in this paper focuses on the use of Hidden Markov Models for face recognition. A ...
This article investigated the problem of using machine learning algorithms to recognize and identify...
Face recognition is one of the most important biometric approaches due to its potential applications...