The Open Automation and Control Systems Journal

2015, 7 : 2128-2133
Published online 2015 October 30. DOI: 10.2174/1874444301507012128
Publisher ID: TOAUTOCJ-7-2128

Based on Figure Segment and BP Neural Network Met Face Recognition Method

Jianwen Mo and Ti Peng
School of Electronic and Technology, Guilin University of Electronic Technology, China.

ABSTRACT

Face recognition technology today has become one of hotspots and difficulty in research of pattern recognition. After numerous scientific research personnel after years of efforts, it has made many achievements in this field. But because of the complexity of the face recognition problem itself, there are many critical problems need to solve and achieve common application. This paper first introduces the background of face recognition. Development situation and the main method of face recognition uses feature extraction based on wavelet transform and KL transform and uses the BP neural network as the classifier of face recognition methods. It simulates results to have a certain effect. It shows that this method is a feasible method for face recognition.

Keywords:

BP neural network, face recognition, Kl transform, pattern recognition, wavelet transform.