Nowadays, the most common way to determine your health status is to have a blood test. Even though this method is accurate, people still experience pain, fear, and anxiety. Therefore, there is a necessity to develop new methods to detect one’s health that is painless and accurate. The human tongue, which contains numerous features is one such method. Traditional, medical practitioners would examine these features based on years of experience. They believed different areas of the tongue can reflect the health status of different organ systems. However, ambiguity and subjectivity are associated with their diagnostic results. To eliminate these qualitative aspects, tongue images can be objectively analyzed, offering a new way to diagnose disease, one that minimizes the physical harm inflicted to patients (compared with other medical examinations). In recent years, color and texture features are the most commonly used in modern tongue image analysis. However, in literature there exists little or no mention of the use of tongue geometry features by itself to detect a disease. On the other hand, geometry features based on measurements, distances, areas, and their ratios are as important as the other features. Hence, it is a new way to analyze the human tongue and its relation to the patients’ health status.