Acquisition of skin characteristics by Monte Carlo modeling and evolutionary setting of parameters.

Background: In this paper, we present the intelligent system to characterize optically human skin; our proposal is a non-invasive way to obtain some parameters of the skin such as the concentration of hemoglobin, water percentages, and thickness of the layers of the skin.

Material And Methods: To achieve the objective of this work, we used an experimental technique called diffuse reflectance spectrophotometry and numerical calculations, such as the Monte Carlo method and the evolutionary algorithm Evonorm.

Results: Five case studies were performed.