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Proceedings Paper

Face identification with frequency domain matched filtering in mobile environments
Author(s): Dong-Su Lee; Yong-Hyun Woo; Seokwon Yeom; Shin-Hwan Kim
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Paper Abstract

Face identification at a distance is very challenging since captured images are often degraded by blur and noise. Furthermore, the computational resources and memory are often limited in the mobile environments. Thus, it is very challenging to develop a real-time face identification system on the mobile device. This paper discusses face identification based on frequency domain matched filtering in the mobile environments. Face identification is performed by the linear or phase-only matched filter and sequential verification stages. The candidate window regions are decided by the major peaks of the linear or phase-only matched filtering outputs. The sequential stages comprise a skin-color test and an edge mask filtering test, which verify color and shape information of the candidate regions in order to remove false alarms. All algorithms are built on the mobile device using Android platform. The preliminary results show that face identification of East Asian people can be performed successfully in the mobile environments.

Paper Details

Date Published: 8 May 2012
PDF: 6 pages
Proc. SPIE 8406, Mobile Multimedia/Image Processing, Security, and Applications 2012, 84060C (8 May 2012); doi: 10.1117/12.919621
Show Author Affiliations
Dong-Su Lee, Daegu Univ. (Korea, Republic of)
Yong-Hyun Woo, Daegu Univ. (Korea, Republic of)
Seokwon Yeom, Daegu Univ. (Korea, Republic of)
Shin-Hwan Kim, Daegu Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 8406:
Mobile Multimedia/Image Processing, Security, and Applications 2012
Sos S. Agaian; Sabah A. Jassim; Eliza Yingzi Du, Editor(s)

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