期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2017
卷号：17
期号：4
页码：144-151
出版社：International Journal of Computer Science and Network Security
摘要：Automated flower species recognition has been studied for many years. Differences between these studies come from features which were extracted from the flower image, and the recognition algorithm that was used to recognize the flower species. A new automated system was adapted to detect the flower region from the image and recognize its species. Features based on color, texture, and shape were extracted from the interest part only, so the recognition accuracy is increased. New Dataset has been built which contains flowers from Jordan. The result showed a high recognition accuracy of our new dataset. In addition, our proposed system outperforms several methods on Oxfoed17 Dataset.
关键词：Automated; Detection; Recognition; Digital Image processing.
