We propose a method to extract the items of a check by applying three sub processes. First, we eliminate the horizontal lines and some remaining background pixels by a subtraction between a virgin model and a filled specimen of a check, after background elimination on both checks. In the second step, each connected object on the image is described by its minimal surrounding rectangular box. A specific distance is defined for each item. Then the box receives the label of an item if it minimizes its specific distance. In the last step, we propose to reconstruct truncated written lines. The reconstruction is based on a simple geometric hypothesis that a written line does not change its curvature when intersecting with graphic background lines. An evaluation made on 60 different checks shows good results of localization and correct reconstruction when the constant curvature hypothesis is respected.