Face Detection Method Based on SSR Algorithm

Kai Song; Lei Wang; Zhi Kun Liu

doi:10.4028/www.scientific.net/AMM.128-129.130

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 128-129Face Detection Method Based on SSR Algorithm

Face Detection Method Based on SSR Algorithm

Abstract:

In order to achieve high speed and high reliability of face detection system, a feature-based template-matching algorithm to detect a key part between the two eyes used. The method is achieved through divided a filter into six rectangular. The face detection process adopts the “integral image” theory. Just calculating the information of around the eyes, eyebrows, and nose area, aspect ratio of the value of the SSR filter is set to 2.22:1 through the experimental which improved the SSR algorithm. Using the advantages of gray-level information, it has better reliability on the changes in light conditions. The experiment result shows that the accuracy rate of the standard frontal face detection is 95%; to monitoring images, the accuracy rate of the “eyes - human face” window location detection is 90%

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Periodical:

Applied Mechanics and Materials (Volumes 128-129)

Pages:

130-133

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.128-129.130

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Online since:

October 2011

Authors:

Kai Song, Lei Wang, Zhi Kun Liu

Keywords:

Face Detection, SSR Algorithm, Template Matching

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