The prevalence global of noncommunicable chronic diseases as diabetes and hypertension worldwide has been disregarded until recently by policy makers. In addition, these diseases have growing with the aging of the population. This study sought to identify changes in face shape from the frontal and side views in elderly people diagnosed with diabetes and hypertension. 205 individuals were studied, with 60 years or more, from both sexes, with different ethnicities, and cognition intact. With a digital camera, photos were taken of the front and side and based on these images landmarks for measurement were determined. For statistical analysis, ANOVA, Canonical Variates Analysis, Mahalanobis distance and Thin-Plate Spline were realized. Given sexual dimorphism, the sexes were analyzed separately. From the ANOVA, significant differences (p<0.01) for individuals with diabetes, hypertension, and patients with both or neither of the diseases were observed. The groups were separated by the Canonical Variates and Mahalanobis distance and independent of edentulism, sex or ethnicity. A morphofacial characteristics for the front and side views (especially in the ear region) that identified individuals with these chronic diseases was observed. This methodology can contribute in a specific manner to the identification of at risk populations and help to promote preventative measures for these conditions.