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IJSTR >> Volume 7 - Issue 11, November 2018 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

A Flower Recognition System Based On Image Processing And Neural Networks

[Full Text]



Huthaifa Almogdady, Dr. Saher Manaseer, Dr.Hazem Hiary



VANET, GPS, location, (RSU).



Recognition is one of computer vision high level processing, the recognition process is mainly based on classifying object by obtaining and analyzing their main distinguishable features. In this paper and as a benchmark dataset we have used Oxford 102 flowers dataset, as it consists of 8189 flowers images that belong to 102 flower species, each species contains 40 to 251 images that has been gathered using internet searching or directly from photographers. we are introducing a flower recognition system for the Oxford 102 flowers dataset using image processing techniques, combined with Artificial neural networks (ANN), based on our proposed methodology, this paper will be divided into 4 main steps; starting with image enhancement, cropping of images used to modify dataset images to create more suitable dataset for next stage. Then image segmentation introduced to separate the foreground (the flower object) from the background (rest of image) where chan-vese active contour has been used, and for the features extraction, all of color, texture and shape have been used, (HSV color descriptor, Gray Level Co-occurrence Matrix (GLCM) as texture descriptor, and Invariant Moments (IM) as a shape descriptor). Finally; the classification process where Back-Propagation Artificial Neural Network (ANN) used. We have achieved (81.19%) as an accuracy rate.



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