International Journal of Computer Science and Business Informatics IJCSBI.ORG ISSN: 1694-2108 | Vol. 13, No. 1. MAY 2014 35 Implementation of Image based Flower Classification System Tanvi Kulkarni PG Student Department of IT, SCOE, Pune Nilesh. J. Uke Associate Professor Department of IT, SCOE, Pune ABSTRACT In today’s world, automatic recognition of flowers using computer technology is of great social benefits. Classification of flowers has various applications such as floriculture, flower searching for patent analysis and much more. Floriculture industry consists of flower trade, nursery and potted plants, seed and bulb production, micro propagation and extraction of essential oil from flowers. For all the above, automation of flower classification is very essential step. However, classifying flowers is not an easy task due to difficulties such as deformations of petals, inter and intra class variability, illumination and many more. The flower classification system proposed in this paper uses a novel concept of developing visual vocabulary for simplifying the complex task of classifying flower images. Separate vocabularies for color, shape and texture features are created and then they are combined into final classifier. In this process firstly, an image is segmented using grabcut method. Secondly, features are extracted using appropriate algorithms such as SIFT descriptors for shape, HSV model for color and MR8filter bank for texture extraction. Finally, the classification is done with multiboost classifier. Results are represented on 17 categories of flower species and seem to have efficient performance. Keywords MR8 filter bank, Multiboost classifier, SIFT descriptors, Visual Vocabulary, HSV color model. 1. INTRODUCTION Object recognition has always been a difficult problem to tackle for the computer scientists due to the numerous challenges involved in it. It is possible that the image of any object taken from different view appears in a different way for each individual. Considering the natural object such as flower, various species of flowers exists in the world. Some of the categories are Daffodils, Buttercups, Dasils, Iris, Dandelions, Paisy, Sunflowers, Windflowers, Lily valleys, Tulips, Tiger lilies, Crocus, Bluebells, Cow clips etc. The categorization of flower images is challenging due to variances in geometry, illumination and occlusions. The problem of classification becomes more complex because of the large visual variation