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What is Flower Recognition Using CNN and Image Processing about?

This document presents a flower recognition system using image processing and neural networks. It uses the Oxford 102 flower dataset containing over 8,000 images from 102 flower species. The proposed methodology includes 4 steps: 1) image enhancement and cropping, 2) image segmentation to separate flowers from backgrounds, 3) feature extraction of color, texture and shape, and 4) classification using a convolutional neural network (CNN) with backpropagation. The system achieves 91% accuracy on the flower da

Author

Aravindh Arun

Language

EN