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https://dspace.univ-ouargla.dz/jspui/handle/123456789/20832
Title: | Automatic recognition of plant leaves using serial combination of classifiers |
Authors: | Hamrouni, Lamis Khaldi, bilel KHERFI, Mohammed Lamine |
Keywords: | plant leaves Morphological features serial combination classification |
Issue Date: | 4-Mar-2019 |
Publisher: | Université Kasdi Merbah Ouargla |
Series/Report no.: | 2019; |
Abstract: | Plants are of great importance in human life, they are useful in many field such as industry, medicine, agriculture, etc. Plant identification is not a trivial task and presents challenges even for specialists. In this paper, we present an automatic leaf classification system based on a serial combination of two classifiers, namely: Linear discriminate analysis and Naïve Bayes. Our system is consisted of two stages, at the first stage, NB classifier attempts to determine, with a reject option, the class that a given sample is belonging to. If the confidence score yielded by NB does not exceed a certain threshold, then the sample will be passed through another classification task using LDA classifier. Our system has been evaluated using the well-known Swedish dataset. Experimental results indicated that the serial combination of the classifiers has shown better performance than those obtained using only one classifier. |
Description: | Le 2eme Conference Internationale sur intelligence Artificielle et les Technologies Information ICAIIT 2019 |
URI: | http://dspace.univ-ouargla.dz/jspui/handle/123456789/20832 |
Appears in Collections: | 2. Faculté des nouvelles technologies de l’information et de la communication |
Files in This Item:
File | Description | Size | Format | |
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Lamis Hamrouni.pdf | 447,14 kB | Adobe PDF | View/Open |
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