Leaf recognition and classification using Chebyshev moments

Earth contains millions of plants; each of this plant leaf has its own unique features. On related to their unique features plants leaf is used in different sectors in day to day life. Hence, proper identification of each leaf exhibits good result. According to the survey 50% of plant leaf is used in medical sector making medication for respective disease treatment. So plant leaf recognition plays a significant role. Many researches are conducted on leaf identification using different technology. This paper put forth an automatic leaf image identification model using image processing techniques. The proposed paper has been presented on leaf identification model, by using several feature extraction schemes. Feature extraction technique is carried out based on the texture, color and shape of the leaf images. The proposed model considered thirty classes of Flavia dataset with a total of 270 leaf images. The application of four different schemes for feature extraction increases the accuracy of the system up to 96.29%. © Springer Nature Singapore Pte Ltd. 2019.