Auto-luminance-Based Face Image Recognition System

2022 ◽  
pp. 553-565
Author(s):  
Anurag Verulkar ◽  
Kishor Bhurchandi
Keyword(s):  
Image Recognition ◽  
Recognition System ◽  
Face Image

scholarly journals An Enhanced Optimal Technique For Accurate Detection Of Color Face Images With Different Illuminations

2021 ◽  
Vol 12 (2) ◽  
pp. 1418-1428
Author(s):  
Ms. Meenakshi Shunmugam , Et. al.
Keyword(s):  
Face Recognition ◽  
Image Recognition ◽  
Additive White Gaussian Noise ◽  
Recognition System ◽  
Noise Removal ◽  
Face Image ◽  
Locality Preserving Projection ◽  
Face Images ◽  
Locality Preserving ◽  
Projection Approach

Secured authentication system is one of the most challenging tasks focused now-a-days by many researchers and greatly achieved by means of face detection technique. Face image recognition is currently realized by Adaptive singular value decomposition in two-dimensional discrete Fourier domain (ASVDF). The recognition systems ability enhancement is attained for face images recognition by side light influence reduction on a color face image for inadequate light. The prevailing researches does not focuses the following points:  No correct output during face recognition process, Face spoofing is not concentrated thereby face recognition may effect in imprecise result, Optimal feature extraction. Optimized Face Recognition System with Illumination and Rotation Consideration (OFRS-IRC) is one of the promising solutions for mitigating all those issues. Various methods are presented for ensuring accurate face recognition. Additive White Gaussian Noise removal technique is utilized for eliminating noise when the image is captured through sensor devices. Illuminate invariant features and locality preserving projection approach is exploited for segmented image recognition. As a final step, Fuzzy neural network is deployed for precise prediction on the basis of locality preserving projection approach results. MATLAB simulation tool is exploited for evaluating this research, where improved performance are attained by proposed method than prevailing methods. The proposed method shows 7.42% better detection rate than the existing work.

New Techniques for Face Image Recognition Identification and Labeling

2007 ◽  
Vol 1 (4) ◽  
pp. 62-69
Author(s):  
Milhled Alfaouri ◽  
◽  
Nada N. Al-Ramahi ◽  
Keyword(s):  
Image Recognition ◽  
Face Image ◽  
New Techniques

Performance Evaluation Of Face Image Recognition Based Voila-Joins With SVM

2019 ◽  
pp. 161
Author(s):  
Jamal Mustafa Al-Tuwaijari ◽  
Suhad Ibrahim Mohammed
Keyword(s):  
Performance Evaluation ◽  
Image Recognition ◽  
Face Image

scholarly journals Face Mask Recognition System with YOLOV5 Based on Image Recognition

2020 ◽  
Author(s):  
Guanhao Yang ◽  
Wei Feng ◽  
Jintao Jin ◽  
Qujiang Lei ◽  
Xiuhao Li ◽  
...  
Keyword(s):  
Image Recognition ◽  
Face Mask ◽  
Recognition System
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