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2016 | OriginalPaper | Buchkapitel

Identification of the Plants Based on Leaf Shape Descriptors

verfasst von : Pradip Salve, Milind Sardesai, Ramesh Manza, Pravin Yannawar

Erschienen in: Proceedings of the Second International Conference on Computer and Communication Technologies

Verlag: Springer India

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Abstract

Plants are living organisms belonging to the vegetal kingdom that can live on land and in water. Plants form the critical base of food chains in nearly all ecosystems. Plants are vitally important for environmental protection and contribute to maintain biodiversity. Plant taxonomy has attracted many researchers to study the bio-diversities based on plants. Automated identification of plant species using leaf shape descriptor addresses the automatic classification of plants and simplifies taxonomic classification process. In this research work, we used Zernike moments (ZM) and Histogram of Oriented Gradient (HOG) method as a shape descriptor resulting 84.66 and 92.67 % accuracy for ZM and HOG, respectively, on ‘VISLeaf’ database.

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Metadaten
Titel
Identification of the Plants Based on Leaf Shape Descriptors
verfasst von
Pradip Salve
Milind Sardesai
Ramesh Manza
Pravin Yannawar
Copyright-Jahr
2016
Verlag
Springer India
DOI
https://doi.org/10.1007/978-81-322-2517-1_10