Abstract
Abstract In recent years, doctors adopt the most accurate method which is called “The examination of the chromosome” for diagnosis of rare diseases. But it costs much and long time to analyze the DNA on the chromosome. In the work of this thesis, we propose the disease recognition system that uses the information of the facial features to help doctors diagnose simply and rapidly. Since the specific abnormality of the chromosome often affects the face or body as to be deformed, we can recognize the disease by the specific facial deformation features. Since this study is a novel research topic, in order to prove the feasibility of the idea, first of all, we begin to focus on the recognition of the Down syndrome in the infant faces. When a baby is born, there is 1/500 possibility to be deformed because of the abnormal chromosome. Sometimes these differences can discern from the facial features, for instance, strange ratio of the facial feature, flat nose, strange contour of the ear, plump chin and so on. We develop the system of the medical diagnosis by the facial features to help doctors make the clinic diagnosis of the disease of infant babies. Down-Syndrome, also known as Trisomy-21 due to the presence of a third twenty-first chromosome, is one of the most common and well known birth anomalies. In our disease recognition system, we consider fifteen important facial features from the front face and lateral face. Eight of which are extracted from the front face, and the after seven features are extracted from the lateral face. They stand for the relative position of the both eyes, size of the both eyes, the slope degree of the eye, the size of the nose, the concave degree of the nose, the relative position between ear and nose, and the shape ratio of the ear. We design a fast algorithm for feature recognition effectively. Experimental results show that the accuracy of our system to recognize Down-Syndrome case correctly is about 90%.