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In this study, we propose a method to estimate 3D shape, color and specular reflections of an object using an image scanner with multiple illuminations. In the first process, we estimate an initial shape of the object. Several scanned images taken by illuminations located on the circumference are used to estimate object shape by the photometric stereo using average images reducing the specular reflection. In the second process, the object shape, color and specular components are estimated by an iterative process. In experiments, we show the estimation of the shape, color and specular components using synthetic images, and we confirm the effectiveness of our proposed methods.