Plant Recognition System Based on Leaf Image

Nature has huge members of plants identifying them and classifying them is important task for botanists. Usually plants are recognized by leaf and its characteristics like shape, texture, vein structure, color etc. A system is developed which recognizes plants automatically based on leaf structure using image processing. Moreover evolutionary changes are also taking place in plants and it has impact on identification and classification. Image data base and related information is stored on cloud. Shape measure include area, perimeter, ratio of MajorAxisLength and MinorAxisLength, vein structure indicating angle of sub veins with major vein, texture are the major feature used. Botanists visit remote places, jungles where the plants need to be identified and classified. So an attempt is made to develop an automatic identification system where in an image of leaf is captured by any smart phone, uploaded on cloud, where image available and complete data base is trained. Captured image is processed features will be extracted and gives to classifies the plant classification result will be transmitted back to smart phone and related information.