Abstract
Recently, biometrics has been widely used in our life. In the measurement of similar human face matching, there seems little study using the least trimmed square Hausdorff Distance (LTS-HD). In this paper, we use LTS-HD to measure facial similarity. The face images come from the UBKinFace Version 2, TwinsFace, DupeKorean and VIPKinFace face databases. This system uses Viola and Jones’s face detection method. After face detection, the ASM (Active Shape Model) is applied for rapidly locating facial feature points such that the feature regions can be extracted accurately. Prior to ASM, there are preprocessing, scaling and normalizing. After ASM, facial component features can be extracted automatically from the digitized pictures of faces. The two coordinates of the feature points are compared by using Hausdorff Distance and converted to percentages.
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