DocumentCode
644272
Title
Improving accuracy of facial recognition systems for distant targets
Author
Jun-Horng Chen ; Chin-Lun Lai ; Chih-Hong Chu ; Jing-Ying Hsu
Author_Institution
Dept. of Commun. Eng., Oriental Inst. of Technol., Taipei, Taiwan
fYear
2013
fDate
1-4 Oct. 2013
Firstpage
92
Lastpage
93
Abstract
This work is aimed at improving the accuracy of the PCA-based facial recognition system for distant targets. Since the faces captured from distant targets are inevitably with lower resolution in contrast to the enrolled faces in the database, enhancing the effective resolution will be accordingly adopted to improve the accuracy. This work will category the approaches and experimentally compare the performance of them, which provides a valuable recommendation for the design of a practical facial recognition system.
Keywords
face recognition; image resolution; principal component analysis; visual databases; PCA; accuracy improvement; database; distant targets; facial recognition systems; image resolution; principal component analysis; Accuracy; Databases; Energy resolution; Face recognition; Image resolution; Interpolation; Principal component analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics (GCCE), 2013 IEEE 2nd Global Conference on
Conference_Location
Tokyo
Print_ISBN
978-1-4799-0890-5
Type
conf
DOI
10.1109/GCCE.2013.6664936
Filename
6664936
Link To Document