|
|
Bimonthly Since 1986 |
ISSN 1004-9037
|
|
|
|
|
Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
|
|
|
|
|
|
|
|
|
|
Abstract
Within the realm of biometrics, facial recognition methods have emerged as one of the most promising areas of study in the previous decade. Lighting conditions that cannot be adjusted provide a significant obstacle to accurate face recognition, despite receiving a great deal of attention and study. In this research work, we recommend a facial recognition technique under illumination condition. The technique consists several stages in it. The strategies for face identification under variable lighting circumstances that are detailed in this work are broken down into a few different steps. Face detection using MTCNN, data normalization and pre-processing with random Gaussian noise, model development for face categorization, and authentication method are the key phases in this proposed technique.
Keyword
Face Recognition, MTCNN, Variant Illumination, Random Gaussian Noise
PDF Download (click here)
|
|
|
|
|