Business card region segmentation by block-based line fitting and largest quadrilateral search with constraints

In this paper, we propose a novel segmentation method to extract business card region from the image. In our method, an input image is partitioned into four blocks and the probabilistic Hough transform is applied to each block to detect the line segment candidates of business card boundary. Then, our method searches the largest quadrilateral, which is formed by using the detected line segments, under some constraints through RANSAC-like method. To evaluate the proposed method, we test our method on the collected business card images having various kinds of backgrounds. As a result of experiments, we show that our method has achieved about segmentation rate of 90%.