Evaluation of machine learning techniques for face detection and recognition

2012 ◽  
Author(s):  
E. Garcia Amaro ◽  
M.A. Nuno-Maganda ◽  
M. Morales-Sandoval
Keyword(s):  
Machine Learning ◽  
Face Detection ◽  
Machine Learning Techniques ◽  
Learning Techniques ◽  
Face Detection And Recognition ◽  
Detection And Recognition

Face Detection and Recognition Using OpenCV

2021 ◽  
Vol 2 (2) ◽  
Author(s):  
Ramadan TH. Hasan ◽  
◽  
Amira Bibo Sallow ◽  
Keyword(s):  
Machine Learning ◽  
Computer Vision ◽  
Facial Expressions ◽  
Face Detection ◽  
Video Processing ◽  
Recognition Of Facial Expressions ◽  
Image And Video Processing ◽  
Gender And Age ◽  
Face Detection And Recognition ◽  
Detection And Recognition

Intel's OpenCV is a free and open-access image and video processing library. It is linked to computer vision, like feature and object recognition and machine learning. This paper presents the main OpenCV modules, features, and OpenCV based on Python. The paper also presents common OpenCV applications and classifiers used in these applications like image processing, face detection, face recognition, and object detection. Finally, we discuss some literary reviews of OpenCV applications in the fields of computer vision such as face detection and recognition, or recognition of facial expressions such as sadness, anger, happiness, or recognition of the gender and age of a person.

A Survey: Approaches to Facial Detection and Recognition with Machine Learning Techniques

2021 ◽  
pp. 103-125
Author(s):  
Prateek Singhal ◽  
Prabhat Kumar Srivastava ◽  
Arvind Kumar Tiwari ◽  
Ratnesh Kumar Shukla
Keyword(s):  
Machine Learning ◽  
Machine Learning Techniques ◽  
Learning Techniques ◽  
Detection And Recognition

scholarly journals Automatic Attendance System with Face Recognition using Machine Learning

2020 ◽  
Vol 8 (6) ◽  
pp. 3642-3646
Keyword(s):  
Machine Learning ◽  
Face Recognition ◽  
Recognition Algorithm ◽  
Machine Learning Techniques ◽  
Project Work ◽  
Data Set ◽  
Second Stage ◽  
Learning Techniques ◽  
The Face ◽  
Face Detection And Recognition

Object and Face detection and recognition is one of the mostly researched area in computer vision. This particular field of work is widely used in mobile phones and laptops for unlocking the system by the user. Recently this field gained importance in the automatic attendance system in schools, colleges and institution. The institutions are moving from biometric based attendance to face recognition based attendance system. In this project work, I have used machine learning techniques to create a complete system of automatic attendance system which can be implemented very easily. There are majorly four steps involved in the system. Firstly, the datasets can be created instantly using webcam and in the second stage the created data set have to be trained and the trainer algorithm will create the trainer.yml document. As a next step, the face recognition algorithm have to be performed in order to recognize the faces of various students and teacher. In the final step, the attendance of the students will be updated in the CSV file or Excel. The proposed work is very much suited for the real time applications like automatic attendance system. HaarCascade is very eff

Sign in / Sign up

Export Citation Format

Share Document