ARM Based Ear Recognition Embedded System


KUS M., KACAR U., Kırcı M. , Güneş E. O.

IEEE EUROCON Conference, Zagreb, Croatia, 1 - 04 July 2013, pp.2021-2028 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/eurocon.2013.6625258
  • City: Zagreb
  • Country: Croatia
  • Page Numbers: pp.2021-2028
  • Keywords: Ear recognition, Microcontroller, Principal component analysis, Embedded System, PCA Based Recognition System

Abstract

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.