Art gallery in hand: Towards creating a mobile application for retrieving painting information

Nowadays, no one can neglect the effect of smartphone applications in the daily life. Diversity of these applications are enormously increased, from entertainment to education. In the meantime, informative applications have their pros. In this research, producing a painter finder app has been taken into account. Finding adequate information about paintings from their images is a sort of image registration. Automatic registration in art gallery image is a problem, which has not been consider well by researchers so far. According to the features of paintings image nature, the number of SIFT descriptors numerous and this issue would leads to making SIFT inappropriate for an online matching. Therefore, ASIFT is used, which can reduce the processing time. Matching algorithm is adopted to eliminate repeated matching points. An experimental threshold as well as patching the images are applied for removal the wrong matching points so as to improve the accuracy of matching further. Compared with traditional registration algorithm, the results show that the ASIFT algorithm has increased both in time-saving and complexity-reducing on a paining database which was gathering during this research.