(12) CCDカメラを用いた手書き文字認識による自律移動ロボットの制御
第22回ファジィシステムシンポジウム講演論文集，pp.7-8，2006-9
The paper deals with handwritten numerical character recognition by use of a 3-way categorical data analysis with CCD cameras for control of an autonomous robot Khepera. We installed two CCD cameras on Khepera as human binocular eye. By the CCD cameras, a character was extracted from the wall, and the distance to the wall could be calculated. When a character was recognized, Khepera moved corresponded with a meaning of the character. The distance was determined for calibrating CCD measurement. To judge an accurate depth to the object on the base of the image from two CCD cameras, physical distances to some objects in different depths were measured in advance. Then we calculated differences in horizontal position from the image of right and left CCD cameras according to each object. In the case when the Khepera could detect few clues of depth, the marking point on the wall could facilitate the compensation of the difference of right and left images, and then it could judge the depth. Further, with handwritten character recognition system, we could control the Khepera with instructions on the wall.
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