scholarly journals Image Compression in Face Recognition - a Literature Survey

10.5772/6389 ◽  
2008 ◽  
Author(s):  
Kresimir Delac ◽  
Sonja Grgic ◽  
Mislav Grgic
Keyword(s):  
Face Recognition ◽  
Image Compression ◽  
Literature Survey

scholarly journals Predicting Weather Conditions from Images

2020 ◽  
Vol 6 (11) ◽  
pp. 174-178
Author(s):  
Shonima Minhas and Shreya Kapoor
Keyword(s):  
Neural Networks ◽  
Image Analysis ◽  
Face Recognition ◽  
Convolutional Neural Networks ◽  
Weather Prediction ◽  
Weather Conditions ◽  
Literature Survey ◽  
Activity Detection ◽  
Adaptive Weights ◽  
Video Recognition

Convolutional neural networks (CNNs) are widely acknowledged in the fields of image and video recognition, face recognition, image analysis, image classification and activity detection. CNNs take images as their input; assign adaptive weights and biases to numerous features of the image; and then assign the various categories to them. The intent of this paper is to establish a model to classify outdoor images to different weather classes. Literature survey about the field related to weather prediction has shown that the best results are obtained while using the CNN models. This paper proposes a method of implementation of convolutional neural networks to classify separate weather conditions into four classes, namely cloudy, rainy, shine and sunrise. In this paper, four CNN models with different number of model layers are implemented and their results are examined.

scholarly journals Insight on face liveness detection: A systematic literature review

2019 ◽  
Vol 9 (6) ◽  
pp. 5865
Author(s):  
Enas A. Raheem ◽  
Sharifah Mumtazah Syed Ahmad ◽  
Wan Azizun Wan Adnan
Keyword(s):  
Face Recognition ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Web Of Science ◽  
Literature Survey ◽  
Detection Methods ◽  
Basic Properties ◽  
General Overview ◽  
Liveness Detection ◽  
Different Types

<p>To review researcher’s attempts in response to the problem of spoofing and liveness detection, mapping the research overview from the literature survey into a suitable taxonomy, exploring the basic properties of the field, motivation of using liveness detection methods in face recognition, and Problems that may restrain the advantages. We presented a subjected search on face recognition with liveness detection and its synonyms in four main databases: Web of science, Science Direct, Scopus and IEEE Xplore. We believe that these databases are widely inclusive enough to cover the literature.<em> </em>The final number of articles considered is 65 articles. 4 of them where review and survey articles that described a general overview about liveness detection and anti-spoofing methods. Since 2012, and despite of leaving some areas unestablished and needs more attention, researchers tried to keep track of liveness detection in several ways. No matter what their category is, articles concentrated on challenges that faces the full utility of anti-spoofing methods and recommended some solutions to overcome these challenges. In this paper, different types of liveness detection and face anti-spoofing techniques are investigated to keep researchers updated with what is being developed in this field.</p>

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