Improvement of Lipreading Performance Using Gabor Filter for Ship Environment 


Vol. 35,  No. 7, pp. 598-603, Jul.  2010


PDF Full-Text
  Abstract

In this paper, we work for Lipreading using visual information for ship environment. Lipreading is studied for using image information including lips of a speaker at the existing speech recognition system. This technique is a compensation method to increase recognition rate decreasing remarkably in noisy circumstances. Proposed way improved the rate of recognition improving methode of preprocessing using the Gabor Filter for Ship Environment. The experiment were carried out under changing of light with time in the ship environment with lip image. For Comparing with recognition, make a compare with between method of lip region of interest (ROI) before Gabor filtering and after Gabor filtering. In the case of using method of lip ROI before Gabor filtering, the result of the experiments applying to the proposed ways recognition resulting in 44% of recognition.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

D. Shin, S. R. Lee, J. W. Kwon, "Improvement of Lipreading Performance Using Gabor Filter for Ship Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 7, pp. 598-603, 2010. DOI: .

[ACM Style]

Do-sung Shin, Seong Ro Lee, and Jang Woo Kwon. 2010. Improvement of Lipreading Performance Using Gabor Filter for Ship Environment. The Journal of Korean Institute of Communications and Information Sciences, 35, 7, (2010), 598-603. DOI: .

[KICS Style]

Do-sung Shin, Seong Ro Lee, Jang Woo Kwon, "Improvement of Lipreading Performance Using Gabor Filter for Ship Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 7, pp. 598-603, 7. 2010.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880