Hideyashu Sai

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A new method for setting a threshold value on a quasi-chroma histogram to extract facial areas based on the methods used in forecasting stock market features, such as dead cross and golden cross, is proposed. In general, when a threshold value is set to isolate objects from a background, the histogram of an image is taken and examined. However, the shape of(More)
To improve the robustness against variation in shooting angles, we previously proposed using an asymptotic expansion of the Gabor transform of ear images to compute the Gabor features of other poses and using these estimates in multiple linear discriminant analysis to enhance feature discriminability. Extending this study, the accuracies are compared with(More)
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