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Academic Journal of Computing & Information Science, 2019, 2(3); doi: 10.25236/AJCIS.020308.

Leaf Contour Recognition Using Hash Learning


Shuman Pan, Tao Li, Yichen Yin

Corresponding Author:
Shuman Pan

College of Science, Beijing Forestry University, Beijing 100083, China


In the era of big data, hash learning has gained wide attention in large-scale images classification and recognition. In this paper, we identify the type of leaves by hash learning. Firstly, we process original leaf images into contour images and calculate the values of eight geometric feature for each image. Then, we set optimal thresholds for each feature and perform hash mapping. Finally, the type of leaves is determined by calculating the similarity of their hash codes. We conduct an experiment on 14 types of leaves and use one deep learning model as a comparative experiment. The results show that our method has higher recognition accuracy and recognition efficiency as well as reduces the overhead of data storage and transmission.


Leaf recognition, image processing, shape features, hash learning

Cite This Paper

Shuman Pan, Tao Li, Yichen Yin. Leaf Contour Recognition Using Hash Learning. Academic Journal of Computing & Information Science (2019), Vol. 2, Issue 3: 68-74. https://doi.org/10.25236/AJCIS.020308.


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