Paper Title:
Application Research of Face Feature Extraction Based on DM642
  Abstract

With the safety awareness strengthened, identification authentication technology has been increasingly concerned. Face recognition is attractive in pattern recognition and artificial intelligence field, and face feature extraction is a very important part in face recognition. This paper first introduced preprocessing of face images, PCA and ICA algorithm. Considering PCA and ICA their respective strengths and weaknesses, then a novel face feature extraction method based on PCA and ICA is proposed. The NN classifier is select to face classification and recognition on the ORL face database. From the actual requirements, the paper analyses hardware platforms based on DM642, and finally use tool CCS software to optimize program and implementation base on DM642 to meet the real-time requirements. Experiments indicated that the modified method is superior to PCA and ICA algorithm.

  Info
Periodical
Advanced Materials Research (Volumes 139-141)
Edited by
Liangchi Zhang, Chunliang Zhang and Tielin Shi
Pages
2024-2028
DOI
10.4028/www.scientific.net/AMR.139-141.2024
Citation
J. Q. Liu, Q. Z. Fan, D. Cao, "Application Research of Face Feature Extraction Based on DM642", Advanced Materials Research, Vols. 139-141, pp. 2024-2028, 2010
Online since
October 2010
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Zhao Nan Yang, Shu Zhang
Chapter 5: Numerical Methods, Computation Methods and Algorithms for Modeling, Simulation and Optimization, Data Mining and Data Processing
Abstract:A new similarity measurement standard is proposed, namely background similarity matching. Learning algorithm based on kernel function is...
2160