Face identification with frequency domain matched filtering in mobile environments

Dong-Su Lee; Yong-Hyun Woo; Seokwon Yeom; Shin-Hwan Kim

doi:10.1117/12.919621

8 May 2012 Face identification with frequency domain matched filtering in mobile environments

Dong-Su Lee, Yong-Hyun Woo, Seokwon Yeom, Shin-Hwan Kim

Proceedings Volume 8406, Mobile Multimedia/Image Processing, Security, and Applications 2012; 84060C (2012) https://doi.org/10.1117/12.919621
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

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.

Citation Download Citation

Dong-Su Lee, Yong-Hyun Woo, Seokwon Yeom, and Shin-Hwan Kim "Face identification with frequency domain matched filtering in mobile environments", Proc. SPIE 8406, Mobile Multimedia/Image Processing, Security, and Applications 2012, 84060C (8 May 2012); https://doi.org/10.1117/12.919621

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KEYWORDS

Facial recognition systems

Linear filtering

Phase only filters

Image filtering

Mobile devices

Optical filters

Fourier transforms

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