A real time implementation of a pose invariant face recognition engine with a novel face segmentation algorithm

2006 ◽  
Vol 9 (3) ◽  
pp. 331-338
Author(s):  
R. Srikantaswamy ◽  
R. D. Sudhaker Samuel
Keyword(s):  
Face Recognition ◽  
Real Time ◽  
Segmentation Algorithm ◽  
Face Segmentation

scholarly journals Real time Face Recognition using Region- Based Segmentation Algorithm

2015 ◽  
Vol V4 (04) ◽  
Author(s):  
Shemsa Selemani Ngambeki ◽  
Xuewen Ding ◽  
Michael Daniel Nachipyangu ◽  
Keyword(s):  
Face Recognition ◽  
Real Time ◽  
Segmentation Algorithm

Real Time Person Recognition and Attendance Marking Using Holistic Based Approach

2017 ◽  
Vol 7 (7) ◽  
pp. 302
Author(s):  
Reshma P ◽  
Muneer VK ◽  
Muhammed Ilyas P
Keyword(s):  
Face Recognition ◽  
Real Time ◽  
High Accuracy ◽  
Efficient Technique ◽  
Human Face ◽  
Traditional Methods ◽  
Person Recognition ◽  
The Face

Face recognition is a challenging task for the researches. It is very useful for personal verification and recognition and also it is very difficult to implement due to all different situation that a human face can be found. This system makes use of the face recognition approach for the computerized attendance marking of students or employees in the room environment without lectures intervention or the employee. This system is very efficient and requires very less maintenance compared to the traditional methods. Among existing methods PCA is the most efficient technique. In this project Holistic based approach is adapted. The system is implemented using MATLAB and provides high accuracy.

Real Time Gender and Age Prediction using Deep Learning Techniques

2020 ◽  
Vol 9 (6) ◽  
pp. 797-801
Keyword(s):  
Deep Learning ◽  
Face Recognition ◽  
Real Time ◽  
Vital Role ◽  
Learning Techniques ◽  
Gender And Age ◽  
The Face ◽  
And Gender ◽  
Gender Detection ◽  
Age Prediction

Face recognition plays a vital role in security purpose. In recent years, the researchers have focused on the pose illumination, face recognition, etc,. The traditional methods of face recognition focus on Open CV’s fisher faces which results in analyzing the face expressions and attributes. Deep learning method used in this proposed system is Convolutional Neural Network (CNN). Proposed work includes the following modules: [1] Face Detection [2] Gender Recognition [3] Age Prediction. Thus the results obtained from this work prove that real time age and gender detection using CNN provides better accuracy results compared to other existing approaches.

Development of the Facial-Color Simulator with Real-Time Face Recognition

2007 ◽  
Vol 6 (2) ◽  
pp. 53-64
Author(s):  
Takao Makino ◽  
Toshiya Nakaguchi ◽  
Norimichi Tsumura ◽  
Koichi Takase ◽  
Saya Okaguchi ◽  
...  
Keyword(s):  
Face Recognition ◽  
Real Time

Smart drone with real time face recognition

2021 ◽  
Author(s):  
Shanthi K.G. ◽  
Sivalakshmi P. ◽  
Sesha Vidhya S. ◽  
Sangeetha Lakshmi K.
Keyword(s):  
Face Recognition ◽  
Real Time

Attendance System Implementation Using Real Time Face Recognition

2021 ◽  
Author(s):  
Priyanka Tyagi ◽  
Mayank Kaushik ◽  
Harshit Kumar Singh ◽  
Nikhil Jaiswal
Keyword(s):  
Face Recognition ◽  
Real Time ◽  
System Implementation
Sign in / Sign up

Export Citation Format

Share Document