REAL-TIME DOCUMENT DETECTION IN SMARTPHONE VIDEOS

Smartphones are more and more used to capture photos of any kind of important documents in many different situations, yielding to new image processing needs. One of these is the ability of detecting documents in real time on smartphones' video stream while being robust to classical defects such as low contrast, fuzzy images, flares, shadows, etc. This feature is interesting to help the user to capture his document in the best conditions and to guide this capture (evaluating appropriate distance, centering and tilt). In this paper we propose a solution to detect in real time documents taking very few assumptions concerning their contents and background. This method is based on morphological operators which contrasts with classical line detectors or gradient based thresholds. The use of such invariant operators makes our method robust to the defects encountered in video stream and suitable for real time document detection on smartphones.