ARM based ear recognition embedded system

This paper presents a fully embedded ear recognition system using Principal Component Analysis (PCA) based on an ARM microcontroller which can be programmed with MicroC language. As it´s a common belief, PCA is the first known and easiest way for pattern recognition, but it´s not used in many applications with a microcontroller unit until now. The ear recognition system is programmed and can be used independent from a regular computer as a fully embedded system. Dataset is stored in the flash memory and the system can be trained in every validation and test processes without a regular computer. Experimental results for recognition rates are acceptable and as good as for safety systems.