In this paper, we propose a staff-line detection and removal algorithm from a music score image obtained by a digital camera. As a preprocessing technique to recognize a music score image, staff-line detection and removal should be efficiently applied to the distorted images from a skew or curve. The proposed method detects staff-lines by dividing a stave according to the degree of distortion. The number of division is calculated by dividing a stave repeatedly, until an average of differences between the divided y coordinates is smaller than a threshold. Therefore, the number of division can be adaptively estimated according to the degree of distortion. For an experiment, we make various kinds of distorted images by skewing from 1° to 3° or curving. The results show that the proposed method performed well on the experiment images.
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