A Codebook Design Method for Robust VQ-Based Face Recognition Algorithm

HTML  Download Download as PDF (Size: 162KB)  PP. 119-124  
DOI: 10.4236/jsea.2010.32015    5,244 Downloads   10,141 Views  Citations

Affiliation(s)

.

ABSTRACT

In this paper, we present a theoretical codebook design method for VQ-based fast face recognition algorithm to im-prove recognition accuracy. Based on the systematic analysis and classification of code patterns, firstly we theoretically create a systematically organized codebook. Combined with another codebook created by Kohonen’s Self-Organizing Maps (SOM) method, an optimized codebook consisted of 2×2 codevectors for facial images is generated. Experimental results show face recognition using such a codebook is more efficient than the codebook consisted of 4×4 codevector used in conventional algorithm. The highest average recognition rate of 98.6% is obtained for 40 persons’ 400 images of publicly available face database of AT&T Laboratories Cambridge containing variations in lighting, posing, and expressions. A table look-up (TLU) method is also proposed for the speed up of the recognition processing. By applying this method in the quantization step, the total recognition processing time achieves only 28 msec, enabling real-time face recognition.

Share and Cite:

Q. Chen, K. Kotani, F. Lee and T. Ohmi, "A Codebook Design Method for Robust VQ-Based Face Recognition Algorithm," Journal of Software Engineering and Applications, Vol. 3 No. 2, 2010, pp. 119-124. doi: 10.4236/jsea.2010.32015.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.