India is significant in Ayurveda medicine and treatment since it is a repository for numerous medications. Until recently, only rishi-Munis or Rajvidhyas were aware of the old Ayurvedic medical system. However, today, many individuals are eager to learn more about the herbs used in Ayurvedic therapy. Nadi Priksha is a traditional way of predicting appropriate herbs in which the Rajvedhya studies the pulse, however as technology has advanced, machines are now capable of carrying out such work. In the pharmaceutical sector, it is crucial to identify the proper ayurvedic botanicals used in a medicine's manufacture. The primary characteristics needed to recognize a medicinal plant are found in the shape, color, and texture of its leaves. This study examines morphological traits and feature vectors from the front and back of a green leaf to find the optimal mix of features that maximizes the identification rate. Scanned photos of the front and back of the leaves of frequently used ayurvedic medicinal plants are used to build a database of medicinal plant leaves. Using a special feature combination, the leaves are categorized.