期刊名称：International Journal of Computer Science & Information Technology (IJCSIT)
印刷版ISSN：0975-4660
电子版ISSN：0975-3826
出版年度：2013
卷号：5
期号：6
页码：39
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Due to the increasingly need for automatic traffic monitoring, vehicle license plate detection is of highinterest to perform automatic toll collection, traffic law enforcement, parking lot access control, amongothers. In this paper, a sliding window approach based on Histogram of Oriented Gradients (HOG)features is used for Brazilian license plate detection. This approach consists in scanning the whole imagein a multiscale fashion such that the license plate is located precisely. The main contribution of this workconsists in a deep study of the best setup for HOG descriptors on the detection of Brazilian license plates,in which HOG have never been applied before. We also demonstrate the reliability of this method ensuredby a recall higher than 98% (with a precision higher than 78%) in a publicly available data set.
