A REVIEW ON LEAF RECOGNITION

Authors

  • Pradip Wable Department of Electronics and Telecommunication, SKNCOE, Pune, India
  • Purushottam Chilveri Department of Electronics and Telecommunication, SKNCOE, Pune, India

Keywords:

Feature extraction,, image processing,, classification.

Abstract

Plant is closely related to humans. How to quickly recognize an unknown plant without related professional knowledge is a huge challenge. With the development of image processing and pattern recognition, it is possible to recognize leaf image quickly from which species it belongs to. This paper gives review of leaf recognition and methods to improve recognition rate. Different databases used to evaluate the performance of various methods. Various features are extracted in orderto improve recognition rate, such as entropy sequence, Hu’s invariants, Zernike moments, form factor, circularity, rectangularity, aspect ratio, Ring projection wavelet fractal feature

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Published

2021-03-27

Issue

Section

Articles

How to Cite

Pradip Wable, & Purushottam Chilveri. (2021). A REVIEW ON LEAF RECOGNITION. International Journal of Innovations in Engineering Research and Technology, 1-4. https://repo.ijiert.org/index.php/ijiert/article/view/1135

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