FACE RECOGNITION BY COMBINATION OF PCA AND GABOR FILTER

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

GHAJAR H.R.; SORYANI M.; KOOCHARI A.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: SIGNAL AND DATA PROCESSING Year:2010 | Volume:- | Issue:1 (SERIAL 13) Page(s): 89-96

Download Full-Text

Persian Verion

View:

4,963

Download:

Cites:

Information Journal Paper

Title

FACE RECOGNITION BY COMBINATION OF PCA AND GABOR FILTER

Author(s)

GHAJAR H.R. | SORYANI M. | KOOCHARI A. | Issue Writer Certificate

Keywords

FACE RECOGNITIONQ3

GABOR FILTERINGQ2

PCAQ3

Abstract

Methods for FACE RECOGNITION which are based on face structure are among techniques without supervision and produce unfavorable results in the presence of linear changes in images. PCA is a linear transform and a powerful tool for data analysis but does not produce good results for FACE RECOGNITION when there are non-linear changes resulting from changes in position, intensity and gesture in the face image. To overcome this problem, methods based on face features are used. GABOR FILTERING which can be considered as a feature based method can be used in these cases. This paper presents a new FACE RECOGNITION algorithm by combining PCA and GABOR FILTERING methods. After GABOR FILTERING of each face image, a number of images is produced. Then, mean of these images is calculated and PCA is applied to it. The resulted principal components are then used for FACE RECOGNITION. The presented algorithm has been applied to face images from YaleB and ORL databases under different conditions. Results show that the new algorithm performs better than PCA or GABOR FILTERING methods when they are applied to face images independently.

Cites

No record.

References

No record.

Cite

APA: Copy

GHAJAR, H.R., SORYANI, M., & KOOCHARI, A.. (2010). FACE RECOGNITION BY COMBINATION OF PCA AND GABOR FILTER. SIGNAL AND DATA PROCESSING, -(1 (SERIAL 13)), 89-96. SID. https://sid.ir/paper/160694/en

Vancouver: Copy

GHAJAR H.R., SORYANI M., KOOCHARI A.. FACE RECOGNITION BY COMBINATION OF PCA AND GABOR FILTER. SIGNAL AND DATA PROCESSING[Internet]. 2010;-(1 (SERIAL 13)):89-96. Available from: https://sid.ir/paper/160694/en

IEEE: Copy

H.R. GHAJAR, M. SORYANI, and A. KOOCHARI, “FACE RECOGNITION BY COMBINATION OF PCA AND GABOR FILTER,” SIGNAL AND DATA PROCESSING, vol. -, no. 1 (SERIAL 13), pp. 89–96, 2010, [Online]. Available: https://sid.ir/paper/160694/en

Related Journal Papers