ApLeaf: An efficient android-based plant leaf identification system
Zhong-Qiu Zhao1,2; Lin-Hai Ma1; Yiu-ming Cheung2,3; Xindong Wu1,4; Yuanyan Tang5; Chun Lung Philip Chen5
Source PublicationNeurocomputing

To automatically identify plant species is very useful for ecologists, amateur botanists, educators, and so on. The Leafsnap is the first successful mobile application system which tackles this problem. However, the Leafsnap is based on the IOS platform. And to the best of our knowledge, as the mobile operation system, the Android is more popular than the IOS. In this paper, an Android-based mobile application designed to automatically identify plant species according to the photographs of tree leaves is described. In this application, one leaf image can be either a digital image from one existing leaf image database or a picture collected by a camera. The picture should be a single leaf placed on a light and untextured background without other clutter. The identification process consists of three steps: leaf image segmentation, feature extraction, and species identification. The demo system is evaluated on the ImageCLEF2012 Plant Identification database which contains 126 tree species from the French Mediterranean area. The outputs of the system to users are the top several species which match the query leaf image the best, as well as the textual descriptions and additional images about plant leaves, flowers, etc. Our system works well with state-of-the-art identification performance. 

KeywordAndroid Application Feature Fusion Image Retrieval Plant Identification
URLView the original
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000347753600017
The Source to ArticleScopus
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Cited Times [WOS]:30   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.College of Computer Science and Information Engineering, Hefei University of Technology, Hefei 230009, China
2.Department of Computer Science, Hong Kong Baptist University, Hong Kong, China
3.United International College, Beijing Normal University - Hong Kong Baptist University, Zhuhai, China
4.Department of Computer Science, University of Vermont, USA
5.Faculty of Science and Technology, University of Macau, Macau, China
Recommended Citation
GB/T 7714
Zhong-Qiu Zhao,Lin-Hai Ma,Yiu-ming Cheung,et al. ApLeaf: An efficient android-based plant leaf identification system[J]. Neurocomputing,2015,151(P3):1112-1119.
APA Zhong-Qiu Zhao,Lin-Hai Ma,Yiu-ming Cheung,Xindong Wu,Yuanyan Tang,&Chun Lung Philip Chen.(2015).ApLeaf: An efficient android-based plant leaf identification system.Neurocomputing,151(P3),1112-1119.
MLA Zhong-Qiu Zhao,et al."ApLeaf: An efficient android-based plant leaf identification system".Neurocomputing 151.P3(2015):1112-1119.
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