Toward accurate dynamic time warping in linear time and space
Intelligent Data Analysis
Computer-assisted tree taxonomy by automated image recognition
Engineering Applications of Artificial Intelligence
Time series shapelets: a new primitive for data mining
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Plant leaf identification using Gabor wavelets
International Journal of Imaging Systems and Technology
Plant Leaf Identification Using Multi-scale Fractal Dimension
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Plant texture classification using gabor co-occurrences
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
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Most plant species have unique leaves which differ from each other by characteristics such as the shape, colour, texture and the margin. Details of the leaf margin are an important feature in comparative plant biology, although they have largely overlooked in automated methods of classification. This paper presents a new method for classifying plants according to species, using only the leaf margins. This is achieved by utilizing the dynamic time warping (DTW) algorithm. A margin signature is extracted and the leaf's insertion point and apex are located. Using these as start points, the signatures are then compared using a version of the DTW algorithm. A classification accuracy of over 90% is attained on a dataset of 100 different species.