The Application of Neural Network and Wavelet in Human Face Illumination Compensation

Facial region detection has broad application prospects, but existing human face region detection methods have some rigorous requirements for the light conditions. Error detection about face area caused by the poor light conditions has a great bad effect on the follow-up processing, such as face recognition, fatigue degree evaluation based on visual. So face region detection in complex lighting conditions has always been the difficult problem. Therefore a self-adaptive illumination compensation method for color images has been proposed. Select the color face images database of the California Institute of Technology to test the method dealing with the face region detection by original image and the image after illumination compensation. In the simulation experiment, the method of Illumination compensation can effectively improve the detection accuracy. Lay the foundation for driver fatigue detection based on visual.

A fuzzy hybrid learning algorithm for radial basis function neural network with application in human face recognition

Pattern Recognition ◽

10.1016/s0031-3203(02)00231-5 ◽

2003 ◽

Vol 36 (5) ◽

pp. 1187-1202 ◽

Cited By ~ 49

Author(s):

Javad Haddadnia ◽

Karim Faez ◽

Majid Ahmadi

Keyword(s):

Neural Network ◽

Face Recognition ◽

Radial Basis Function ◽

Basis Function ◽

Learning Algorithm ◽

Hybrid Learning ◽

Human Face ◽

Human Face Recognition ◽

Hybrid Learning Algorithm ◽

Radial Basis

Human face recognition based on radial basis probabilistic neural network

Proceedings of the International Joint Conference on Neural Networks, 2003. ◽

10.1109/ijcnn.2003.1223751 ◽

2004 ◽

Cited By ~ 1

Author(s):

Lin Guo ◽

De-Shuang Huang

Keyword(s):

Neural Network ◽

Face Recognition ◽

Probabilistic Neural Network ◽

Human Face ◽

Human Face Recognition ◽

Radial Basis

Home Security using Face Recognition Technology

International Journal of Engineering and Advanced Technology - Regular Issue ◽

10.35940/ijeat.b3917.129219 ◽

2019 ◽

Vol 9 (2) ◽

pp. 678-682

Keyword(s):

Neural Network ◽

Face Recognition ◽

Personal Identity ◽

Face Detection ◽

Personal Characteristics ◽

Personal Identification ◽

Human Face ◽

Human Face Recognition ◽

Home Security ◽

Recognition Pattern

Face is the easiest way to penetrate each other's personal identity. Face recognition is a method of personal identification using the personal characteristics of an individual to decide the identification of a person. The method of human face recognition consists basically of two levels, namely face detection and face recognition. There are three types of methods that are currently popular in the developed face recognition pattern, those are Eigen faces algorithm, Fisher faces algorithm and CNN neural network for face recognition