Abstract:
Document capture with a smartphone camera is already here to stay. Interactive applications for document capture and its enhancement have filled mobile application stores. However, discounting the predictions and judging only from the experience of using such applications, they are not yet ready to compete with stationary scanners when high quality and reliability is required. This paper is devoted to analysis of the problem of document detection in the image and evaluation of the quality of existing mobile applications. Based on this analysis we present a new reliable algorithm for document capture, based on the boundary segments detection and constructing an intersections graph to fit rectangular projective model. The algorithm achieves about 95% quality of document detection and outperforms all
of the reviewed algorithms, implemented in mobile applications.
Keywords:document detection; segments detection; projective transform; mobile cameras.