Welcome to the InfoSci Platform
Augmented Small-Scale Database to Improve the Performance of Eigenface Recognition Technique

Augmented Small-Scale Database to Improve the Performance of Eigenface Recognition Technique

Allam Mousa, Rana Salameh, Rawan Abu-Shmais
Copyright: © 2012 |Volume: 2 |Issue: 2 |Pages: 12
ISSN: 2155-6997|EISSN: 2155-6989|EISBN13: 9781466611269|DOI: 10.4018/ijcvip.2012040105
Cite Article Cite Article

MLA

Mousa, Allam, et al. "Augmented Small-Scale Database to Improve the Performance of Eigenface Recognition Technique." IJCVIP vol.2, no.2 2012: pp.59-70. http://doi.org/10.4018/ijcvip.2012040105

APA

Mousa, A., Salameh, R., & Abu-Shmais, R. (2012). Augmented Small-Scale Database to Improve the Performance of Eigenface Recognition Technique. International Journal of Computer Vision and Image Processing (IJCVIP), 2(2), 59-70. http://doi.org/10.4018/ijcvip.2012040105

Chicago

Mousa, Allam, Rana Salameh, and Rawan Abu-Shmais. "Augmented Small-Scale Database to Improve the Performance of Eigenface Recognition Technique," International Journal of Computer Vision and Image Processing (IJCVIP) 2, no.2: 59-70. http://doi.org/10.4018/ijcvip.2012040105

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Eigenface recognition technique reserves limitations in achieving good performance. This includes the large-scale database required, its sensitivity to improper illumination, as well as to different expressions of a human face, and image background. This paper presents an efficient and accessible solution for some of these limitations by improving the database’s design. Face recognition accuracy has been enhanced via the inclusion of a modified version of the images in the database. Illumination and various face positions have been integrated into the already available small-scale database. Recognition is sensitive to the illuminated side of a face under consideration. Applying the proposed approach and choosing proper pre-processing values, has improved the system’s performance.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.