Authors : Sunil Bhutada, K.Tejaswi and S.Vineela
Page Nos : 70-76
Description :
Classification and Recognition systems are being used to use the existing data effectively and getting the feature extraction from the data and displays them. This project we want to flower classification using text recognition. Actually the dimensions of flowers are considered and the flower is mentioned in the dataset including the dimensions. The goal of this paper is to extract the features of flowers and display the advantages and disadvantages of the flower. According to the performance of few algorithms we considered KNN and Random Forest as it gave the maximum accuracy.
