Author： Su Ching-Liang
Publisher： Association for Laboratory Automation
ISSN： 1535-5535
Source： Journal of the Association for Laboratory Automation, Vol.5, Iss.4, 2000-09, pp. : 92-94
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Abstract
This research uses the boundary cutting, spatial-temporal segmentation, block based searching, and gray scale histogram technique to extract the eyes, nose, and mouth images. In this research, gray scale histograms are used to salient the eyes, nose, and mouth features. A spatial-temporal template is designed to slide the eyes, nose, and mouth images to extract the eyes, nose, and mouth image. In order to obtain the best result, the generic algorithm and spatial region partition techniques need to be used to remove noise and to precisely bind the object region to obtain a more accurate result.
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