A Comparative Analysis of AlexNet and GoogLeNet with a Simple DCNN for Face Recognition

2020 ◽  
pp. 655-668
Author(s):  
P. Kalaiarasi ◽  
P. Esther Rani
Keyword(s):  
Face Recognition ◽  
Comparative Analysis

scholarly journals Comparative Analysis of various Illumination Normalization Techniques for Face Recognition

2011 ◽  
Vol 28 (9) ◽  
pp. 1-7 ◽  
Author(s):  
Tripti Goel ◽  
Vijay Nehra ◽  
Virendra P.Vishwakarma
Keyword(s):  
Face Recognition ◽  
Comparative Analysis ◽  
Illumination Normalization

Utilizing Cloud Capabilities for Face Detection and Face Recognition During COVID-19: Comparative Analysis

2021 ◽  
Author(s):  
Vaidehi Fulzele ◽  
Purva Kirad ◽  
Chanchal Dubey ◽  
Yash Kulkarni ◽  
Surabhi Thatte
Keyword(s):  
Face Recognition ◽  
Comparative Analysis ◽  
Face Detection

Comparative Analysis of Illumination Compensation Techniques in Face Recognition

2015 ◽  
Vol 7 (1) ◽  
pp. 22-41
Author(s):  
M. Jasmine Pemeena Priyadarsi ◽  
K. Murugesan ◽  
Srinivasa Rao Inbathini ◽  
V. Harish Goutham
Keyword(s):  
Face Recognition ◽  
Comparative Analysis ◽  
Illumination Compensation

scholarly journals Comparative analysis of selected facial recognition algorithms

2020 ◽  
Vol 39 (3) ◽  
pp. 896-904
Author(s):  
J.A. Popoola ◽  
C.O. Yinka-Banjo
Keyword(s):  
Face Recognition ◽  
Comparative Analysis ◽  
Facial Recognition ◽  
Research Work ◽  
Cost Effective ◽  
Facial Symmetry ◽  
Face Matching ◽  
Computer Based ◽  
Haar Cascade ◽  
Detection And Recognition

Systems and applications embedded with facial detection and recognition capabilities are founded on the notion that there are differences in face structures among individuals, and as such, we can perform face-matching using the facial symmetry. A widely used application of facial detection and recognition is in security. It is important that the images be processed correctly for computer-based facial recognition, hence, the usage of efficient, cost-effective algorithms and a robust database. This research work puts these measures into consideration and attempts to determine a cost-effective and reliable algorithm out of three algorithms examined. Keywords: Haar-Cascade, PCA, Eigenfaces, Fisherfaces, LBPH, Face Recognition.

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