Clasificador de huellas plantares mediante imagen digital

Flat foot and cavus foot are two types of foot that can cause health problems at an advanced age. These types of foot may change because they evolve with age. Due to this, it is possible to correct the flat and cavus foot. Footprints can be used in order to detect these types of foot. This paper presents the development of a digital podoscope which, with the help of software, can generate a prognosis classification (cavus, normal or flat). The podoscope consisted of a glass supported by a metal frame with a camera at the bottom and lighting on the sides. The software consisted of a user interface developed with Visual Studio and image processing with MATLAB. The feet of 51 children of age range between 6 and 12 years were classified in an approximate time of 1 hour and a half over four days. The estimated time of each standing classification was approximately 1.5 minutes.