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Image processing technologies using garment image have been applied for some fields such as similar garment search technology and virtual fitting technology. With regard to similar garment search technology, it is a technique to retrieve same garment images shot from different viewpoints has not been researched sufficiently. However, it may be inferred that by using garment identification technology for person identification, it is possible to propose a detection method that does not depend on the direction of a person, compared to conventional methods based on biometric information like face information. It is thought that this can be effectively used for detecting and identifying a person within a limited space such as a kindergarten or a nursery school. In this research, we researched a method of discriminating children using features of garment. In this method, feature information is acquired from a pattern of garment, and a garment feature model is created for each child. The information used as a feature is three types. There are shape information by Hough transform, color feature based on color space, and frequency feature by discrete cosine transform. In the experiments, we created a feature model from the region determined by template matching with the pattern image and compare it with the feature model of the pattern, to measure the discrimination accuracy of the proposed method.

Kindergarten Children Identification Based on Garment Characteristics