Indian medicinal herbs are widely used to produce traditional medicine. It has long been believed that medicinal plants may be a valuable source of therapeutic help. This entails the use of medicinal plants, maybe as a material for preserving good health as well as for the treatment of disorders. Locating an Ayurvedic plant among massive greenery is a difficult task. Based on a plant’s size, leaves, blooms, fruits, etc., we can identify it. The majority of the time, we must identify plants based on their leaves since a leaf is a component of the plant that is present on plants virtually all year round. When working with a plant’s leaf, it’s crucial to pay attention to even the smallest variations in the curves that describe the leaf’s form. In this study, we built a computerised system for recognising the enormous variety of medicinal plants important to Ayurveda. The methods required for significant leaf characteristics from images and for detection of leaves are included in the review. They are divided into group depending on their performance, categorization of leaf pictures such as shape, vein, texture. A data set of 25 plant species is created. It is converted into a gray scale image. Then analysis of the texture of the leaf is done, it is compared with the given database, and the result is given.