Leaf Shape Recognition Using Fourier Descriptors and Hough Transform and Classification Using Probabilistic Neural Network.

In recent studies, many researchers have tested different kind of techniques focusing on flowers, barks and leaf for plant recognition such as extraction of shape factors and comparison of color histogram. Both have provided good results but has many restrictions. This study on leaf shape recognition using Fourier descriptors and Hough transform with probabilistic neural network has shown great potential as an improvement for recognition of plant species. It is a combination between shape factors, Fourier descriptors, and vein features using Hough transform. All image processing techniques are done using MATLAB. The hardware implementation emulated wireless connection between a thin client and a server with the help of Mono, OpenCV, and EmguCV. Hardware peripherals are composed of a miniature studio, Raspberry Pi processor as well as its Pi Cam and LCD modules. The mini studio was used to provide clean background and correct lighting. Results show an accuracy of 87 percent on Flavia dataset, and 99 percent on the local dataset.