Plant Leaf Recognition Using Ridge Filter and Curvelet Transform with Neuro-Fuzzy Classifier

  • Jyotismita ChakiEmail author
  • Ranjan Parekh
  • Samar Bhattacharya
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 43)


The current work proposes an innovative methodology for the recognition of plant species by using a combination of shape and texture features from leaf images. The leaf shape is modeled using Curvelet Coefficients and Invariant Moments while texture is modeled using a Ridge Filter and some statistical measures derived from the filtered image. As the features are sensitive to geometric orientations of the leaf image, a pre processing step is performed to make features invariant to geometric trans-formations. To classify images to pre-defined classes, a Neuro fuzzy classifier is used. Experimental results show that the method achieves acceptable recognition rates for images varying in texture, shape and orientation.


Curvelet transform Invariant moment Ridge filter Neuro fuzzy 


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Copyright information

© Springer India 2016

Authors and Affiliations

  • Jyotismita Chaki
    • 1
    Email author
  • Ranjan Parekh
    • 1
  • Samar Bhattacharya
    • 2
  1. 1.School of Education TechnologyJadavpur UniversityKolkataIndia
  2. 2.Department of Electrical EngineeringJadavpur UniversityKolkataIndia

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