scholarly journals Image-Based Face Detection and Recognition

2021 ◽  
Vol 6 (12) ◽  
pp. 466-470
Author(s):  
Gaurav Melkani and Dr. Sunil Maggu
Keyword(s):  
Face Detection ◽  
Response Rate ◽  
Complete Solution ◽  
Initial Step ◽  
Difficult Problem ◽  
Video Capture ◽  
Public Places ◽  
Face Detection And Recognition ◽  
High Degree ◽  
Detection And Recognition

Face recognition from image or video is a popular topic in biometrics research. Many public places usually have surveillance cameras for video capture and these cameras have their significant value for security purpose. It is widely acknowledgedthatthefacerecognitionhaveplayedanimportant role in surveillance system as it doesn’t need the object’s cooperation. The actual advantages of face based identification over other biometrics are uniqueness and acceptance. As human face is a dynamic object having high degree of variability in its appearance, that makes face detection a difficult problem in computer vision. In this field, accuracy and speed of identification is a mainissue. The goal of this paper is to evaluate various face detection and recognition methods, provide complete solution for image based face detection and recognition with higher accuracy, better response rate as an initial step for video surveillance. Solution is proposed based on performed tests on various face rich databases in terms of subjects, pose, emotions, race andlight.

scholarly journals A New Hybrid Approach on Face Detection and Recognition

2020 ◽  
Author(s):  
Saloni Dwivedi ◽  
Nitika Gupta
Keyword(s):  
Face Detection ◽  
Research Work ◽  
Hybrid Approach ◽  
Initial Step ◽  
Detection Algorithms ◽  
Lighting Conditions ◽  
The Face ◽  
Face Detection And Recognition ◽  
Passport Control ◽  
Detection And Recognition

Face detection and recognition is an important paradigm when we consider the biometric based systems. Amongvarious biometric elements, the face is the most reliable one and can be easily observed even from a distance as compared to iris or fingerprint which needs to be closely observed to use them for any kind of detection and recognition. Challenges faced by face detection algorithms often involve the presence of facial features such as beards, moustaches, and glasses, facial expressions,and occlusion of faces like surprised or crying. Another problem is illumination and poor lighting conditions such as in video surveillance cameras image quality and size of the image as in passport control or visa control. Complex backgrounds also make it extremely hard to detect faces. In this research work, a number of methods and research paradigms pertaining to face detection and recognition is studied at length and evaluate various face detection and recognition methods, provide a complete solutionfor image-based face detection and recognition with higher accuracy, a better response rate as an initial step for videosurveillance.

A Novel Approach of Face Detection Based on Skin Color Segmentation and SVM

2011 ◽  
Vol 225-226 ◽  
pp. 437-441
Author(s):  
Jing Zhang ◽  
You Li
Keyword(s):  
Face Detection ◽  
Skin Color ◽  
Information Access ◽  
Color Segmentation ◽  
Support Vector ◽  
Svm Classifier ◽  
Novel Approach ◽  
Great Performance ◽  
Face Detection And Recognition ◽  
Detection And Recognition

Nowadays, face detection and recognition have gained importance in security and information access. In this paper, an efficient method of face detection based on skin color segmentation and Support Vector Machine(SVM) is proposed. Firstly, segmenting image using color model to filter candidate faces roughly; And then Eye-analogue segments at a given scale are discovered by finding regions which are darker than their neighborhoods to filter candidate faces farther; at the end, SVM classifier is used to detect face feature in the test image, SVM has great performance in classification task. Our tests in this paper are based on MIT face database. The experimental results demonstrate that the proposed method is encouraging with a successful detection rate.

Hybrid HOG-SVM encrypted face detection and recognition model

2022 ◽  
pp. 1-14
Author(s):  
Shilpa Sharma ◽  
Linesh Raja ◽  
Vaibhav Bhatnagar ◽  
Divya Sharma ◽  
Swami Nisha Bhagirath ◽  
...  
Keyword(s):  
Face Detection ◽  
Recognition Model ◽  
Face Detection And Recognition ◽  
Detection And Recognition
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